Total 9,027 construction engineer job vacancies in Engineering category in Singapore

Assistant/Maintenance Engineer (Rotating and Static Equipment)

Responsibilities

• Carry out preventive maintenanceworks in accordance to the preventive maintenance program.
• Manage information and data of maintenance and inspection in the inventory and planning system R-MIC.
• Responsible and coordinate with project team and/or contractors in the big construction or modification work as mechanical engineer.
• Responsible and Coordinate with production team and/or contractors in the investigation of cause of equipment breakdown and propose remedial action.
• Carry out piping design work and manage the actual piping work with safety.
• Carry out small civil design work (e.g. Equipment foundation, Shelter, Loading bay, ACMV and etc.) and manage the actual civil work with safety.
• Coordinate with contractors onsite inspections and repair and maintain and jet cleaning.
• Document management (e.g. To make SOP, WI, RA and presentation slide, To manage drawings for construction, replacement and modification).
• Assist in the preparation of Shut down Maintenance (SDM) planning and execution.
• To take quotation and checking of machine parts and construction work.
• Manage spare parts and consumables inventory for replenishment of stocks.

Requirements

• Min Diploma in Mechanical / Mechatronic Engineering or equivalent.
• Mechanical knowledge and experience (Disassembling, assembling and overhaul of plant equipment and machinery (Such as Pumps, Compressor, Blower, Gear box, Agitator, Mechanical seal and Piping)
• Basic mechanical experience (Maintenance, Repair, Overhaul work)
• Prepared to be on standby to respond to plant emergencies after office hours.
• An effective team player with excellent service attitude.
• Possess strong safety awareness.

Interested applicants please submit your resume to [email protected]

Responsibilities:

Planning, coordination, and execution of substation automation projects.

Design, costing and integration of substation automation systems according to project requirements.

Installation, testing and troubleshooting of substation automation systems at site.

Preparation of project documents and drawings.

Requirements:

Diploma in Electrical Engineering/Computer Engineering

Knowledge of data communication and Automation Systems for Electrical Network

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

Technical support for Protection Projects/Services

Handling testing and commissioning activities at site

Perform wiring check in workshop and at site

Project Management

Requirements:

Diploma in Electrical/Electronic Engineering from a recognised Polytechnic

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Familiar with developments and operations of distributed systems under Linux platform.

- Proficient with at least 2 or more programming languages such as Golang / Python / C / C++ / Java / Scala / Javascript. ACM ICPC / Codeforces winners are preferred

- Excellent in technical design and coding skills. Able to balance technical perspectives with product sense, hardware performance & stability and team cooperation.

- Experienced or interested in at least one of the following topics:

1. Machine Learning Application: had experience in developments or implementations in data, model training, inference, application in various machine learning domains such as LLM / CV / NLP / Speech / Recommendation / Risk Control, etc.

2. LLM Application: dataset construction (conversations, RLHF, etc.), high performance finetuning (LoRA / P-Tuning / RLHG), model inference and deployment, applications (prompt engineering, retrieval augmentation, LangChain), new model exploration (LLama / Falcon / miniGPT4)

3. Cloud Computing: kubernetes application development (such as Operator), micro-service & service mesh, flow control, cloud storage, exploration of technology commercialization, Terraform and etc.

- At least 3 years of relevant experience.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Description

• Reporting to Global Category Microcontroller & Memories (MCM), strive to secure “Best in Class” consistent and sustainable supplier quality performance to reach the Continental Business and Quality targets.
• Maintenance of the defined Supplier Quality Management System (procedures, guidelines, and tools) to ensure the requested quality is in line with the defined supplier management strategies to meet the quality targets.
• Execution of supplier evaluations and assessments to support the cross-functional supplier selection team with the required quality data.
• Driving supplier development & improvement activities at supplier's site.
• Initiation and introduction of the preferred supplier and components strategy.
• Design, initiation, and control of preventive quality management measurements in the design and development phase for supplied parts and services to ensure that our products meet the quality requirements defined.
• Component introduction through robust APQP process which include Component sourcing, writing of specifications, handling of qualifications and risk management.
• Manage change requests (PCN) from component suppliers and assure comprehensive qualification of any change.
• Support of the data system to collect and evaluate supplier quality related key performance indicators (KPIs) for the regular reporting of quality performance.
• Support for the continuous improvement process of all supplier quality-related processes, guidelines, and tools by means of supplier audits, on-site assessments, and benchmarking and best practice sharing programs.

Qualifications

• Degree in Electronics/Electrical Engineering (or related) with minimum 5 years’ experience, preferably in the automotive industry
• Candidates with experience in semiconductor processes (e.g., wafer process technologies, back-end assembly, and testing), knowledge in electronic component & qualification requirements (e.g., AEC-Q, JEDEC, IP qualification) preferred. Candidate with more work experiences may be considered for Principal role.
• Strong experience in quality systems, process audits and part qualification.
• Understanding of automotive practices such as APQP/PPAP/VDA6.3/IATF16949.
• Able to lead suppliers' development and audit activities within Asia.
• Able to work independently and travel frequently (e.g. SE-Asia, China, Japan & S. Korea).
• Strong interpersonal and communication skills e.g. in collaborations, problem solving process, conveying technical details and presentation.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.

- Develop and enhance observability systems for monitoring the stability of large model systems, ensuring high reliability and performance.

- Handle super large-scale cluster management and ensure efficient operation and maintenance of large model systems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Minimum of 5 years of R&D experience in the fields of cloud computing or large-scale model systems.

- Proficiency in cloud-native technologies and understanding of the relevant technology stack.

- Expertise in one of the following programming languages: Golang, Python, or Java, with the ability to use it proficiently in a professional setting.

- Familiarity with cloud-native technologies for log collection, monitoring, and alerting.

Preferred Qualifications:

- Prior experience in the construction and maintenance of stability systems for large-scale infrastructures.

- Experience in operating and maintaining large-scale systems.

- Experience with infrastructure as code, particularly Terraform, is highly desirable.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Supervision of Electrical Equipment testing and commissioning at site
• Review and submission of site acceptance test reports.
• Review Single Line Diagrams and Electrical Schematic Drawings.
• Assist in Electrical Equipment Installation Inspections.
• Attend Site Activities and Meetings involving clients and contractors.
• Undertake tasks / assignments as and when directed by the Commissioning Lead.

Requirements:

• Diploma/Degree in Electrical/ Mechatronic Engineering.
• Minimum 2 Years in the related field and understand singapore regulatory
• Experience in MV / LV Electrical Equipment (Site Installation, Testing and Commmissioning, Maintenance Testing) will be an added advantage.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Maintain a large-scale AI cluster and develop state-of-the-art machine learning platforms to support a diverse group of stakeholders.

- Tackle extremely challenging tasks which include, but are not limited to, delivering highly efficient training and inference for large language models, managing extremely effective distributed training jobs across clusters with over 10,000 nodes and GPU chips, and constructing highly reliable ML systems with unparalleled scalability.

- The work encompasses various aspects of LLMOps (Large Language Model Operations), such as resource scheduling, task orchestration, model training, model inference, model management, dataset management, and workflow orchestration.

- Investigate cutting-edge technologies related to large language models, AI, and machine learning at large, such as state-of-the-art distributed training systems with heterogeneous hardware, GPU utilization optimization, and the latest in hardware architecture.

- Employ a variety of technological and mathematical analyses to enhance cluster efficiency and performance.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions with 5 years of R&D experience in the fields of cloud computing or large-scale model systems.

- Experience in Golang/C++/Cuda development with a solid understanding of Linux systems and popular cloud platforms such as Volcano Engine Cloud, AWS, and Azure Cloud.

- Profound knowledge of cloud-native orchestration technologies like Kubernetes, coupled with experience in large-scale cluster maintenance, job scheduling optimization, and cluster efficiency enhancement with a strong grasp on various foundational areas of computer science, including computer networking, the Linux file system, object storage services, and SQL as well as NoSQL databases.

- Experience in developing ML platforms or MLOps platforms. Experience in distributed machine learning model training, ML model fine-tuning, and deployment.

- Self-motivated, thirst for innovation, collaborative working aptitude, and consistently uphold high standards in coding and documentation quality.

Preferred Qualifications:

- Familiar with High-Performance Computing (HPC) stacks, which may include but is not limited to computing with Cuda/OpenCL, networking with NCCL/MPI/RDMA/DPDK, and model compiling with MLIR/TVM/Trition/LLVM.

- Experience in large language model (LLM) training and development, including large-scale foundational model training aligned with Scaling Laws, efficient fine-tuning techniques such as Lora/P-Tuning/RLHF, model inference optimization, and transformations of model structures for optimizations like Sparse/MoE/LongContext.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems.

- Responsible for designing and developing key components of ML infrastructure and mentoring interns.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About The Team

The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines.

Responsibilities

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent with 3+ years of relevant experience

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

- Experience programming in at least one of the following languages: Python or Golang.

- Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.

- Experience in building solutions with AWS, GCP, Azures, AliCloud or other cloud services.

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.

- Solid background of algorithms and data structures.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

New Year Get New Job!

Mechanical Design Engineer x 2

Bachelors Degree/Diploma in Mechanical/Mechatronics.
At least 3-4 years experiences in Industrial Automation systems.
Proficient in solidworks 3D software and AutoCAD drafting tools.
Capable to work independently
Ability to design equipment with mechanical, pneumatic and electronic system
Willing to travel in the Asian Regions.
Extensive knowledge and experience in process automation system

Summary:

• Construction industry
• Junior role up to $4000
• Senior role up to $5000
• Performance bonus on a yearly basis
• Location: AMK / YCK / Central
• 5 days work week
• Experienced in ACMV & LTA / SMRT

Key Responsibilities:

• Perform engineering design, calculations, planning, and tender preparation / evaluations
• QA/QC documentation of engineering deliverables (DTS,MSS,RFI)
• Liaise with clients, project managers, architects, contractors about the projects
• Assist in resolving any technical problems faced during project design and / or construction stages
• Any other ad-hoc tasks required by the Project Team

Key Requirements:

• At least 3 years experience in relevant field
• Must have ACMV, LTA / SMRT experience

Interested applicants, please submit your updated resume in MS Words / PDF format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be informed that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Job Description:

• Lead or involve in projects as assigned
• Responsible for the IT infrastructure maintenance, project management and operations support
• New Technology assessment, installation, setup, and testing. Make and recommend system proposal and IT security for decision-making
• Support on IT Budget Planning
• Involve in IT roadmap and strategy planning by understanding implemented products technology’s lifecycle and roadmap
• Lead and drive existing core system technical refresh planning and execution
• Provides regular updates and reporting on a timely and accurate fashion
• Assist superior in establishing, maintaining, and enforcing IT procedure and policy governance
• Plan, lead, and direct fellow IT Engineer’s efforts towards assigned tasks and goals
• Remediate and rectify escalated issues or problems quickly and efficiently
• Implement and manage Windows-based infrastructure and associated technologies.
• Monitor and maintain the health, performance, and security of Windows servers and systems.
• Administer Active Directory, Group Policy, DNS, DHCP, and related services.
• Configure and troubleshoot Hypervisor Nutanix virtualization platforms (e.g., VMware, Hyper-V).
• Provisioning and de-provisioning Public Cloud Services (AWS / Azure).
• Deploying, managing, and operating Public Cloud environments
• Identifying appropriate use of Public Cloud operational best practices
• Estimating Public Cloud costs and identifying operational cost control mechanisms
• Maintain technical documentation (ensure up to date info)
• Support data/service migration projects
• Manage Public Cloud infrastructure changes through change request process & provide status reports to the relevant parties.
• Manage Enterprise Backup like Netbackup and Veeam
• Install, configure, and manage Windows servers and services, including IIS, SQL Server, System Centers, etc.
• Collaborate with cross-functional teams to implement and support enterprise-wide solutions.
• Perform routine system and application updates, patches, and upgrades.
• Develop and maintain documentation related to system configurations, processes, and procedures.
• Provide level 2 and level 3 support for Windows-related issues.
• Participate in on-call rotation for after-hours support as needed.

Job Requirements:

• Degree in Computer Science/Engineering
• Min 5 years of relevant experience in IT Infrastructure and Operations and Azure platform Experience
• Strong knowledge in Cloud and IT infrastructure (i.e. Software defined infrastructure and virtualization)
• Deep and thorough knowledge of Azure platform is a must.
• Deep and thorough knowledge in virtualization platforms – Hyper-V and VMware.
• Experience with enterprise backup like Veritas NetBackup, Veeam Backup
• Experience with enterprise SAN like Nutanix
• Strong knowledge in Active Directory, Active Directory Federation Services (ADFS), SAML, web Single Sign-on (SSO), DNS, TCP/IP Networking.
• Experience in ServiceNow management
• Experienced in Project Management deploying mid-size to enterprise cloud infrastructure projects
• Knowledge/ Professional
• Certification in Azure Administrator Associate (AZ-104) or Azure Solutions Architect Expert (AZ-305)
• Good understanding of IT architecture, cloud infrastructure, platform solutions design & strategy and application & system integration.
• Experience in Team management would be an added advantage
• Excellent verbal, written, communication and interpersonal skills.
• Strong interpersonal skills, customer orientation, team interaction/effectiveness, proactive, analytical and decision-making skills
• Personal Attributes
• Experience in Team management would be an added advantage
• Excellent problem-solving and critical-thinking skills
• Ability to manage multiple tasks and meet deadlines
• Ability to think creatively and put ideas into action
• Excellent verbal, written, communication and interpersonal skills.
• Personal integrity, honesty, and the ability to maintain confidentiality.
• Strong interpersonal skills, customer orientation, team interaction/effectiveness, proactive, analytical and decision-making skills

By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

Responsibilities:

• Create mixed-signal verification and coverage strategies tailored to complex IC designs, aligning with design architecture and specifications.
• Construct verification testbenches using standard verification languages and methodologies, ensuring comprehensive coverage.
• Author and execute test cases to validate mixed-signal circuits, focusing on functionality, performance, and reliability.
• Analyze verification results meticulously, offering constructive feedback to design teams for improvements.
• Collaborate closely with design and layout teams to pinpoint and resolve any design issues encountered during verification.
• Innovate and refine verification methodologies, tools, and techniques to enhance scalability and portability.
• Provide final sign-off on mixed-signal designs, ensuring readiness for tape-out.

Requirements:

• Bachelor’s degree in electrical & electronic or equivalents and with minimum 7 years of working experience.
• Proficient in analog and mixed-signal circuit design and verification principles.
• Capability to formulate test plans, deliver presentations on findings, and communicate effectively with cross-functional teams.
• Familiarity with verification methodologies and tools including simulators, waveform viewers, automated execution, simulation time optimization, and coverage analysis.
• Proficient in programming abilities, capable of crafting efficient scripts or programs in languages such as Perl, Python, and/or C.

__________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

• 5 days, MNC, Boon Lay, transport provided (2 ways)
• Salary: $4000 - $4800, 1mth AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year to 2 years of relevant experience
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Responsibilities:

• Design, develop, and deliver working software applications to delight customers.
• Enhance software quality using practices such as code review and unit testing.
• Adhere to the Software Craftsmanship Manifesto to ensure high-quality solutions.
• Prepare architectural and technical documentation.
• Collaborate with Business Analysts (BA) on user story elaboration.
• Assist QA teams with test automation and bug fixes.
• Support DevOps teams in building and release automation.

Experience and Skills Needed:

• Degree or Diploma in Computer Science, Computer/Electronics Engineering, IT, or related fields.
• Proficiency with version control systems like Git.
• Experience with front-end technologies such as:ReactJS
  TypeScript-related frameworks
  Mobile app development (e.g., Swift, Android)
  
• Experience with back-end technologies such as:Ruby on Rails (RoR)
  Node.js
  Java/Kotlin
  Python
  
• Knowledge of low-code application platforms (e.g., OutSystems, Mendix, Pega, Appian, MS Power Apps).
• Familiarity with Agile processes, CI/CD pipelines, and cloud platforms (AWS, GCP, Heroku).
• Proficiency in serverless frameworks, Docker, and container technologies.
• Experience with Continuous Integration tools (e.g., Bamboo, TeamCity).
• Knowledge of design patterns, unit testing, and wireframing tools like Figma.
• Exposure to mobile app development, Agile, and UX development environments is advantageous.
• Cloud certifications (AWS, Azure) and relevant low-code certifications add value.
• Personal traits: self-driven, curious, quick learner, good communicator, and strong problem-solver.

Position: Systems Deployment Engineer – Distributed Cloud Airgapped
Location: Singapore

WFH

Description:

We are seeking a Systems Deployment Engineer to lead the installation and deployment of air-gapped cloud solutions. The role involves configuring various technologies, troubleshooting technical issues, and collaborating with cross-functional teams to deliver enterprise solutions.

Responsibilities:

• Deploy and configure air-gapped cloud solutions.
• Install, configure, and manage technologies including network switches, firewalls, storage systems, servers, and hardware security modules.
• Set up IT infrastructure for Operations Centers, including workstations and equipment for managing air-gapped cloud solutions.
• Troubleshoot infrastructure or software issues during deployments, collaborating with engineering teams as needed.
• Enhance deployment and management processes for air-gapped cloud solutions through collaboration with stakeholders.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Minimum 5 years of experience with Linux operating systems and compute infrastructure, including cloud solutions support and development.
• Proven experience in designing, deploying, and managing enterprise solutions.
• Proficiency in managing hosted services/SaaS, with familiarity in programming/scripting languages such as Java, C, C++, .NET, Go, Python, shell scripting, Perl, or JavaScript.
• Experience in managing Kubernetes extensibility through Custom Resources and Custom Controllers.
• Solid understanding of network switching, VLANs, subnetting, IP addressing, routing, and network troubleshooting.

Preferred Qualifications:

• In-depth knowledge of enterprise-grade operating systems, particularly Linux/Unix, Kubernetes, and network administration.
• Understanding of virtualization in Kubernetes, service mesh architectures, and public key infrastructure.
• Familiarity with Cisco switches, network overlay technologies like VxLAN and VRF, and routing protocols.
• Experience in troubleshooting and supporting large-scale applications, including web services, data storage, databases, and high-performance computing on Linux/Unix or Windows platforms.
• Prior experience in data center operations is advantageous.

(EA:20C0196)

R22108971

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

Roles & Responsibilities

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.
• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.
• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.
• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Skill to containerize a application and good if Kubernetes
• Good Experience on OpenShift or AWS
• Prior technical background on different build and branching strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Prior working experience in setting up Jira workflow.
• Strong hands-on experience on Shell or Groovy scripting.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipeline in internal and external cloud offerings.
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell
• Working knowledge of Murex, MxTest, Mx pipeline and Machine Learning applications will be an advantage.

Job Description

• Production improvement program. (Process/time/control/cost down)
• Design Jig & Fixture to aid production integration/testing.
• Hands-on assembly & testing on modules.
• Assist in resolving technical issue and liaising with customer for closure.
• Responsible for mechanical component selection, tolerance analysis, motion system design, component evaluation, overall system integration, and finally release to manufacturing and installation.

Requirements

• Diploma in Mechanical Engineering or related technical disciplines.
• Minimum 2 years’ experience in related field.
• Strong fundamentals in mechanical concept and problem-solving skills.
• Self-motivated individual who is action/results oriented, independent, flexible with a passion for developing technical excellence products.
• Willings to get hands-on during development cycle.
• Excellent communication skills, with cross-cultural awareness and understanding.

Responsibilities:

Plan, design and administer contract/project of mechanical and electrical engineering works for building service including

• Schematic / concept and detailed design.
• Preparation of tender drawing/specifications & cost estimates.
• Attend project meetings, site meetings & site inspections.
• Review of shop drawings and technical submissions.
• Contract administration.
• Testing and commissioning of electrical and mechanical systems.

Requirements:

• Degree in Mechanical / Electrical / Building Services Engineering.
• Minimum 3 years of relevant experience. Fresh Graduates are welcomed.
• Good interpersonal and communication skills.
• Able to work independently, self-motivated and resourceful.

Salary:

• Commensurate with qualification and experience.

Job Description:

• Seeking an experienced and passionate Integrated Sensing and Communication Algorithm Engineer to research and develop next-generation integrated sensing and communication technologies, driving the development of intelligent driving and intelligent cabin systems.
• This position will focus on the design and optimization of sensing algorithms, addressing technical challenges in the field of wireless sensing
• Design, optimize, and implement algorithms related to integrated sensing and communication, enhancing the performance of communication systems and sensing capabilities.
• Conduct research on joint optimization of communication and sensing, developing efficient resource allocation and channel scheduling algorithms.
• Validate and improve data processing, signal processing, and sensing algorithms based on real-world applications.
• Collaborate closely with RF and system engineers to ensure successful implementation and optimization of algorithms in actual products.
• Stay updated on the latest advancements in the field of integrated sensing and communication, fostering continuous innovation and driving breakthroughs in technology.

Job Requirements:

• Master’s degree or above in Communication Engineering, Electronics, Computer Science, Automation, or related fields with 5 years' experience.
• Familiar with wireless communication and signal processing theories, and a solid foundation in sensing technologies (e.g., radar, optical sensing, etc.).
• Prior experience in integrated sensing and communication or joint optimization algorithm design is preferred.
• Experience with wireless communication standards like 5G, LTE, Wi-Fi, or V2X technologies.
• Familiar with applying machine learning or deep learning in sensing and communication.
• Strong signal processing skills and mathematical foundation, especially in areas such as optimization theory, probability, and statistics.
• Proficient in programming languages such as C/C++, Python, or Matlab, with algorithm development and simulation skills.
• Excellent teamwork and communication skills, with the ability to independently solve problems and think innovatively.

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [email protected]. Shortlisted candidates will be contacted for a discussion.

About ASUS

AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

About AICS

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

Responsibilities:

1. Infrastructure Management

• Design and manage cloud or on-premises infrastructure.
• Implement and maintain CI/CD pipelines.
• Ensure infrastructure is scalable, reliable, and secure.

2. Automation

• Automate repetitive tasks such as deployments, scaling, and monitoring.

3. Tooling and Frameworks

• Develop and maintain internal tools and frameworks to streamline development and deployment processes.
• Performance and Reliability
• Monitor and optimize the performance of applications and infrastructure.
  Implement strategies for disaster recovery and high availability.

Qualifications:

• 2+ years of experience in DevOps, or a related field.
• Cloud Platforms: Knowledge of Azure, Google Cloud Platform, AWS, or other cloud providers.
• Containerization: Experience with Docker, Kubernetes, and container orchestration.
• CI/CD Tools: Proficiency with Azure Pipelines, Github Actions, or similar tools.
• Scripting and Programming: Strong scripting skills (e.g., Python, Bash).
• Infrastructure as Code: Experience with Terraform, Ansible, or similar tools.
• Monitoring and Logging: Familiarity with tools like Prometheus and Grafana.

Job Title: ML Systems Engineer

Work location: Singapore

Department: CoreIP

Position Overview:

Black Sesame Technologies is seeking motivated and talented individuals to join our team as AI Systems Engineer (Embedded Platforms). This position offers an exciting opportunity to work on cutting-edge technologies for autonomous vehicles and robotics. We are looking for individuals who are eager to learn, innovate, and contribute to deploying AI solutions on embedded platforms such as NVIDIA Orin.

Responsibilities:

Model Deployment:Deploy machine learning models on embedded platforms (e.g., NVIDIA Orin) with a focus on applications in autonomous vehicles and robotics.

Optimization: Optimize and tune the performance of deep learning models to ensure maximum efficiency and minimal latency.

Collaboration: Work closely with data scientists and hardware engineers to translate AI algorithms into production-ready code.

Real-Time Monitoring:Implement real-time performance metrics monitoring and develop strategies for continuous improvement.

Innovation: Stay updated on the latest industry trends, technologies, and advancements in AI, machine learning, and embedded systems.

Technical Leadership: Provide guidance and technical expertise in the deployment of AI systems on embedded platforms.

Qualification/ Requirements:

• Education: Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Experience: Proven experience in deploying and optimizing deep learning models on embedded systems.
• Programming Skills: Strong proficiency in Python, C++, and CUDA.
• ML Frameworks:In-depth knowledge of machine learning frameworks such as PyTorch, TensorRT, and hardware accelerators.
• Problem-Solving: Strong problem-solving skills, critical thinking, and a proactive approach to tackling technical challenges.
• Teamwork: Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Responsibilities:

• Engage with stakeholders to translate business requirements into application infrastructure designs and services.
• Ensure designs meet availability, capacity, resiliency, security, and continuity requirements.
• Forecast the budget needed to support project initiatives and maintenance contracts.
• Collaborate with service providers to design, develop, deploy, and configure IT application infrastructure.
• Ensure compliance with government policies, standards, and procedures (e.g., IM8, Agency IT Policies).
• Manage the day-to-day delivery and support of application infrastructure services.
• Work with government agencies and central services teams to facilitate and deliver government-wide application services.

Experience and Skills Needed:

• Degree or Diploma in IT, Computer Science, or related disciplines.
• Minimum of 3 years of relevant working experience.
• Hands-on experience in at least 1 full project development life cycle.
• Ability to take both a strategic and detailed approach to problem-solving and requirements.
• Results-oriented mindset with a focus on customer satisfaction.
• Strong teamwork and organizational skills.
• Excellent communication skills, both written and oral, with the ability to influence stakeholders.
• ITIL v3 Foundation certification (preferred).

Responsibilities

The Lead AI Engineer will collaborate closely with stakeholders, and cross-functional teams to identify AI opportunities and design AI solutions to address business use cases, driving data and analytics initiatives with the business. Additionally, the Lead AI Engineer will play a crucial role in developing and promoting standards across the community, driving, and promoting the democratisation of GenAI, and support in building the GenAI Center of Excellence to enable the respective business units and functions.

Innovation and Exploration:

• Lead innovation initiatives and exploration of GenAI technologies

• Stay abreast of the latest developments in generative AI research and contribute to Proof-of-Concept projects

• Democratisation of GenAI

• Drive and promote the democratisation of GenAI across the organization

• Develop and promote standards to ensure consistency and quality in GenAI implementations

Center of Excellence (CoE) Establishment:

• Support in building and nurturing a GenAI Center of Excellence (CoE)

• Identify capabilities and provide guidance, mentor, training, and problem-solving assistance

• Enable business units and functions in leveraging GenAI capabilities effectively

• AI Design and Development, and Maintenance:

• Design AI solutions for business use cases, encompassing both existing and new systems and processes

• Design and implementation of generative AI and machine learning models

• Running AI and ML Ops for IT-managed applications

• Support in managing vendors to achieve defined delivery and operations objectives

Model Optimisation and Experimentation:

• Optimise generative models & prompts for performance, scalability, and efficiency

• Experiment with advanced generative algorithms such as GANs, VAEs, MoE (Mixture of Experts), Large-language Model (LLM) Merging and others

Data Analysis and Pre-processing:

• Analyse and pre-process large datasets to uncover patterns relevant to Generative AI Modelling

• Handling different modalities of data including unstructured text, image, audio and video

• Analyse the model response and track the LLM model drift and data drift for optimal retraining of GenAI models

• Contribute to data quality and feature engineering processes to enhance model performance

Deployment and Integration:

• Deploy generative models into production environments

• Collaborate with software engineer for seamless integration into applications and systems

AI Technology Expertise:

• Stay updated with the latest advancements in AI, GenAI and machine learning

• Contribute to projects to push the boundaries of GenAI technologies

Requirements

• Bachelor’s degree in IT, Computer Science, AI / ML Engineering, Business Analytics or equivalent

• Minimum of 10 years of professional experience in the data engineering and analytics field, including 5 years in Data Science / AI / Machine Learning engineering with a focus on Generative AI technologies

• Proficiency in programming languages such as Python,Rust and SQL

• Expertise in Generative AI frameworks and libraries, e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Langraph, llamacpp & OpenAI.

• Expertise in Data science and machine learning frameworks and libraries, such as Scikit-learn, TensorFlow, and PyTorch.

• Strong understanding of data pre-processing, feature engineering, and model evaluation techniques.

• Good knowledge on Prompt engineering techniques and cost optimization strategies for Closed Source LLMs.

• Experience in fine-tuning open-source Large Language Models (LLMs) such as Llama 2, Gemma, Mixtral, Phi-2, Orca2,function calling LLMs etc.

• Proficiency in developing LLM-based RAG (Retrieval Augmented Generation)

• Familiarity with cloud-based AI services and platforms, with a preference for Azure.

• Good knowledge of Multimodal language models, embeddings, including Llava, GPT-4V, and Gemini.

• Experience working with closed-source Large Language Models, e.g., OpenAI, Gemini & mistral.

• Good understanding of embedding models and embedding pipelines.

• Supports specific types of AI applications pipelines with Vector databases & Graph databases.

• Ability to develop LLMbased agentic workflows to support suitable business use cases.

• Experience with Git and Agile software project management tools, such as JIRA, Confluence, and CI/CD pipelines.

• Strong experience in converting business requirement into technical requirement and providing end to end solution flow for AI applications

Licence no: 12C6060