As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Purpose of the role:

• Ensure customer satisfaction in service provisioning (transmission, routers, switches) and quality of service.
• Manage all monitoring aspects of network deployments.
• Coordinate all post-sales matters triggered by both internal and external customers.
• Drive continuous improvement in services offered.
• Supervise and oversee engineering operations and functionality.
• Conduct POC testing for network equipment.
• Develop strategies and manage risks for network operations.

Major Responsibilities:

• Plan, project manage, and implement network engineering projects.
• Install and configure DWDM, switches, routers, and firewalls within core and access networks.
• Proactively monitor core production network infrastructure and support systems to ensure continuous service delivery and optimal network performance.
• Propose operational improvements to management involving workflow optimization.
• Create and maintain detailed engineering documentation for proper operations.
• Ensure operational processes and procedures are ITSM compliant.
• Ensure smooth internal workflows and proper escalation procedures.
• Manage the lifecycle of existing network equipment, including capacity planning, network improvement, preventive maintenance, migration, and decommissioning.
• Follow change request processes to ensure high customer service uptime.
• Draft and prepare Incident and Outage Reports in a timely manner.
• Submit all reports, such as Monthly Reports, RFOs, and Incident Reports, promptly.
• Provide full support to NOC & engineers and ensure engineering meets all deliverables and SLA targets.
• Manage IP addresses (IPv4 & IPv6).
• Support Product & Sales workgroups on all new network planning.

Competency/ Technical Skills Required

• Bachelor’s Degree (Computer Science, Information Systems) or equivalent applicable experience required.
• Minimum 5 years working experience in related field
• Strong analytical; skills and has a flair for dealing with technical and operational problems.
• Good interpersonal skills and fluent in communication.
• Strong analytical and troubleshooting skills.
• Enthusiasm and drive to creatively evolve the network using unconventional methods.
• Possess experience in ISP environment will be an advantage.
• Demonstrated ability to work independently, as well as within teams required.
• Ability to work off working hour whenever necessary.
• Formal IT qualification Cisco Certified Network Associate (CCNA) is a must. Candidate with CCNP/CCDP is highly preferred

Job Description

1. Deploys Engineering decision-making to troubleshoot and resolve mechanical equipment breakdowns

2. Identify and address potential issues before they escalate to prevent unplanned downtime.

3. Achieving 0 LTIF target through ensuring safety procedures are followed through SOP, TRA, employees wearing full PPE during work, developing safety procedures

4. To support the section in terms of external resources/vendor management

5. To drive safety, cost, energy and reliability improvement projects in MSP through application of Mechanical integrity and quality assurance

6. Recommend and implement modifications or upgrades to enhance machinery reliability.

7. Maintain accurate records of maintenance activities, including repairs, replacements, and inspections.

8. Perform root cause analysis and work towards resolutions

9. Oversee all required engineering qualification tests on project; ensure compliance with all outside parties involved

10. Participate in test runs and field installations

11. Analysing and interpreting data

12. Stay updated on industry trends, new technologies, and best practices in mechanical maintenance.

13. Provide training to maintenance technicians and operators on equipment usage and maintenance procedures

Job Requirements

1. Proven experience of supervising and managing mechanical site activities for large scale manufacturing project from inception to completion.

2. Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating equipment.

3. Possess strong leadership.

4. Possess strong orientation towards results.

5. Possess good teamwork capabilities

6. Possess good project and time management.

7. Ability to work to an ethical code of conduct

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Our Client:

• Cranes Lifting Industry
• 5 Days, Office Hours
• West Region
• Up to $4500 + $1000 Monthly Transport Allowance

Responsibilities:

• Meet project timelines and comply with Workplace Safety and Health regulations.
• Coordinate with different departments to ensure efficient project management.
• Document meeting minutes to prevent disputes over delays.
• Build and maintain strong relationships with site parties to make sure smooth project execution.
• Monitor project cash flow and ensure progressive payment claims are timely submitted.
• Check and approve Workplace Safety and Health documents to ensure safe work practices.

Requirements:

• Diploma in Mechanical Engineering or similar relevant qualification.
• 2 years of relevant experience in Industrial Products project management preferred.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Metric Materials Analysis Pte. Ltd. is a young and dynamic company offering materials analysis and certification services to our customers.

We are seeking an experienced, entrepreneurial and meticulous individual to join us. He or she has to have good organisational and communication skills to perform well in this role.

Job Description

The successful candidate will be working in an air-conditioned, industrial laboratory environment.

Responsibilities include:

1. Maintain operation of laboratory as per ISO 17025.

2. Assist with SAC accreditation.

3. Oversee day to day operations such as carrying out and scheduling test, issue test reports, schedule calibration and maintenance of machines, etc.

4. Implement testing techniques and standard operating procedures in the laboratory.

5. Review and maintain lab risk assessment.

6. Plan testing capacities based on internal and external requirements, ensuring efficient lab operations.

Pre-requisites:

1. Candidates should possess at least a diploma/degree in Applied Science Engineering, Material Science, Civil Engineering, Mechanical Engineering or related fields.

2. Minimum 3 years of experience in lab (rebar & steel testing). Those with experience in other tests will have an advantage.

3. Singaporeans or PR only.

Renumeration & Benefits:

1. Salary range from $3,500 to $4,000

2. 9:00am to 6:00pm

3. 5-day work week

4. Annual bonus & incentives.

Kindly include last drawn salary and character referee(s).

We regret that only shortlisted candidates will be notified.

Main Duties:

• Oversee the construction activities and progress, plan, implement and monitor work
• Schedule in accordance to the master and detailed work program
• Liaise with Professional Engineer on the Temporary works
• Liaise with consultants (QPS) for technical issues and coordinate the site activities with subcontractors
• Handle of technical and engineering problems
• Provide guidance to supervisors in relation to construction works, ensure progress according to schedule,
• Maintain quality standards, carry out site inspections and resolve technical issues on time
• Prepare report and method statement whenever necessary
• Manage and control workers and monitor their work closely to keep site safer and neat
• Supervise ongoing site activities closely

Requirements:

• Degree in Civil Engineering or equivalent
• Minimum 1 year relevant experience
• Able to commit to 6D week and long working hours to meet tight project deadlines

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Our client is an US MNC, one of the largest players in the life-science sector. Due to business needs, they are now recruiting for Field Service Engineer to be part of their team for ongoing transformation projects. They are located at Jurong East.

Job Requirement:

• Perform verification, calibration, and preventive maintenance (PMs) in accordance with in-house Metrology SOPs.
• Maintain calibration and qualification tools, ensuring timely upkeep.
• Coordinate with and oversee External Third-Party (3P) vendors for calibration, PMs, qualifications, and repairs.
• Ensure External 3P vendors meet Customer off-site and on-site qualifications prior to service execution.
• Respond promptly to ad-hoc service requests from Laboratory End Users, adhering to the agreed Service Level Agreement (SLA).
• Recommend appropriate inventory levels for critical equipment parts and tools to minimize downtime and aid budget planning.
• Accurately document and manage service records, training, and asset information in the in-house Asset Management system.
• Facilitate clear communication and coordination among customers, vendors, and internal teams to ensure smooth service delivery.

Qualifications and Criteria:

• Diploma or bachelor’s degree in Science or Engineering, ideally in Electrical or Mechanical Engineering.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Ptd Ltd

EA License No: 19C9682
Reg No: R24122162 | LAI CHAI LI

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on TikTok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize TikTok codebase, and make the code/coding become more accessible for TikTok engineers.

Job Responsibilities

1. Participate in the design and implementation of a high-availability, scalable, distributed large-model machine learning platform to support the development and efficient iteration of large models for TikTok;

2. Explore cutting-edge technologies related to large-model engineering(LLMOps), covering areas such as data processing, model training, inference services, evaluation system, automated orchestration, prompt engineering, and resource scheduling;

3. Construct a high-performance, cost-effective large-model inference service architecture that ensures high service availability.;

4. Explore the application of frontier large models, Code Agents, etc;

Qualifications

Minimum Qualification

- Bachelor's degree or higher in Computer Science or related fields, with good communication and teamwork skills;

- Solid programming foundation, good coding style, familiar with multi-thread programming, distributed computing, network communication, memory management, and design patterns;

- Experience in engineering R&D or infrastructure, proficient in at least one of the following development languages: C/C++, Python, Golang; and experience researching and developing distributed systems, with the capability and experience in optimizing system performance.

- Experience in developing and deploying large-scale models, including data processing, training, deployment, and evaluation and DevOps/MLOps;

- Experience in large-model service deployment and optimization and distributed scheduling, computing, and storage projects like K8s, Ray, Hadoop, Spark, HDFS;

- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, and understanding of large-model engineering frameworks like vllm/langchain.

Preferred Qualifications

- Passion for technology, good communication skills and team spirit

TikTok 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 TikTok, 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.

Our client is a well-established MNC, market leader in the Water Treatment industry. They are looking for a E&I Engineer to assist their E&I team for the next phrase of their business. They are located in South – easily accessible.

Duties of E&I Engineer:

• Review project specs to ensure equipment meets contract requirements
• Prepare and approve instrument and electrical deliverables (e.g. wiring diagrams, lists, data sheets)
• Create material requests and evaluate bids for electrical and instrument equipment
• Develop engineering standards and procedures for design
• Monitor project costs and schedules
• Attend technical meetings and address client feedback
• Support plant start-up and on-site troubleshooting
• Provide technical support and estimates to the sales team
• Advise engineers and Project Managers
• Follow company health and safety guidelines

Requirements

• Minimum Degree in Engineering/ Electrical or equivalent
• Minimum 5 years of relevant experience
• Familiar with key engineering concepts and practices
• Strong organizational and multi-tasking skills
• Excellent problem-solving and analytical abilities
• Proficient in Microsoft Office, Microsoft Project, and AutoCAD
• Strong verbal and written communication skills
• Able to work independently with attention to detail
• Good teamwork skills
• Knowledge of hazard area classification
• Fluent in English (speaking and writing)

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

EA License No: 19C9682

EA Personnel No: R21101676

EA Personnel Name: Ng Zhi Qing Alethea

Responsibilities:

• Lead the design and development of a vision module for equipment used in the semiconductor industry
• Collaborate with cross-functional teams to define project requirements and specifications
• Design and test electronic circuits, components, and systems for optimal performance and reliability
• Develop hardware prototypes and perform validation testing to ensure functionality and compliance with industry standards
• Work closely with software engineers to integrate the vision module with existing systems and interfaces
• Provide technical support and guidance to junior engineers and team members
• Stay current on industry trends and advancements in technology to ensure our products remain competitive and innovative

Qualifications:

• Bachelor's degree in Electrical Engineering or related field; Master's degree preferred
• 5+ years of experience in electrical, electronic, and hardware design for industrial applications
• Proficiency in hardware design and experienced with vision systems, image processing, and camera technology is highly desirable
• Familiarity with industry standards and regulations for semiconductor equipment
• Excellent communication skills and ability to work collaboratively in a team environment
• Strong problem-solving skills and attention to detail
• Able to communicate effectively in both English and Chinese with our local and China based teams

Location: Admirax St
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Role: Mechanical and Hardware Engineer

Duration: 1 year

Work Hours: Mon - Fri: 830am - 530pm

Work Location: Alexandra

Salary: Up to $4.5k

This role is responsible for designing portions of engineering solutions, developing and implementing parameters and test plans, and conducting feasibility studies

Responsibilities
• Designs portions of engineering solutions for mechanical and thermal hardware, electronics enclosures, and production tooling based on established engineering principles and in accordance with development technology practices and guidelines.
• Develops and implements parameters and test plans for existing designs, including validation of tolerances, form/fit/function, shock and vibration, electromagnetic interference, safety, reliability, developing fan curves, system power measurements & acoustics.
• Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs.
• Performs root cause analysis of defects, propose, evaluate and implement solutions.
• Works in a collaborative environment to design, analyze, build and test mechanical components, devices, structures and assemblies, including mechanical ground support equipment.
• Participates as a member of project team of other mechanical hardware engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderate to complex products.
• Manages relationships with outsourced partners and suppliers, on mechanical and thermal design and development, including setting expectations regarding deliverables, product quality, schedules, and costs.
• Manages design engineering change notifications/engineering change approval request processes, qualification tests, and schedule.
• Manages value engineering project proposals, schedule, tests, and communication.

Education & Experience Recommended
• Degree in Electrical Engineering, Computer Engineering, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 2-4 years of work experience, preferably in engineering design and solutions, implementation across hardware development lifecycle, or a related field or an advanced degree with little or no work experience.

Knowledge & Skills
• 3D Modeling
• Ansys Simulation Software
• Computer-Aided Design
• Electromechanics
• Engineering Design Process
• Finite Element Methods
• Injection Molding
• Machining
• Manufacturing Processes
• Mechanical Design
• Mechanical Engineering
• Mechanical Systems
• New Product Development
• Product Design
• Product Lifecycle Management
• Prototyping
• PTC Creo (CAD Suite)
• Sheet Metal
• SolidWorks (CAD)
• Thermal Management

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://go.persolkelly.com/job/apply/9837

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394

• Reg. R24124631 (Moh Cheng' En, Desean)

Role based in Sydney, Australia - Relocation Support Provided

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Machine Learning Engineer

Compensation: $190,000-$235,000 AUD including superannuation, plus employee equity plan grant & world class benefits.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

About the Role:

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
• Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
• Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
• Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
• Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

About You:

• PhD in Machine Learning [Nice to have]
• Extensive knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling.
• 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
• Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.

This role is based in Sydney, Australia. Rokt will provide relocation and visa support to qualified candidates.

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

About The Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance
• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! 
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.

If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.

Our client specializes in power solutions, ensuring the delivery and maintenance of electrical supply.

• Perform sales and business development for assigned region.
• Create and implement sales and marketing strategies to achieve sales target.
• Liaise with customers and design engineers to specify the products.
• Continuous search business opportunities and expand market share.

Requirements:

• Diploma in Electrical/Electronics Engineering or equivalent.
• At least 4 years of sales experience with good connections in Petrochemical/EPC/Power Plants industry.
• Strong interpersonal, communication and presentation skills.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to[email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Company’s Profile

Our Client company is a prominent engineering company based in Singapore, specializing in HVAC (heating, ventilation, and air conditioning) systems, as well as other building services. The company is known for its commitment to sustainability and energy efficiency, providing innovative solutions for both commercial and residential projects.

Salary Package:
Basic Salary: $5000 - $6000

Working Location: Ang Mo Kio / Yio Chu Kang / Central

Working Hours: Mon - Fri 8.30am - 5:30pm

Key Responsibilities:

· Lead and manage the electrical team.

· Oversee design, calculations, planning, and tender preparation.

· Guide team development and review QA/QC documentation.

· Coordinate with clients, project managers, architects, and contractors.

· Resolve technical issues during design and construction phases.

· Recommend solutions to improve efficiency and revenue.

· Supervise testing and commissioning of ACMV electrical systems.

· Ensure compliance with electrical codes and standards.

Requirements:

· Any qualification in a relevant engineering field with minimum 5 years of related working experience in the Construction Electrical Field associated with ACMV / Electrical.

· Engineering design of commercial buildings, major infrastructure transportation projects and mixed-use developments

· Possess design experience and good understanding of ACMV / Electrical technical systems and procedures:

· Possess knowledge on all cabling, loading and sizing calculations and equipment selections such as cable, generators, panels, etc.

· Develop, design through establishing, design briefs, design reports, calculations, schematics, schedules, specifications, concept, Preliminary, Detailed and Construction Engineering Designs

· Productions of drawings and developing models

· Site Experience, Testing & Commissioning Experience

· Having experience working with Infrastructure Projects would be an added advantage.

Candidates without experience are welcomed to apply! On job training will be provided!

*Able to start work within short notice will be highly advantageous.*
**Please be notified that only shortlisted candidates will be notified**

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.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

• 5 days, Alexandra (South-West), walking distance from MRT
• $4200 - $4800 basic, 1mth AWS,performance bonus
• Phone allowance, Career advancement

Responsibilities:

• Support the customer requirements in collecting data, perform statistical analysis and coming up with better processes or updated processes.
• Work closely with the department leads in mapping the current process and developing the 'to be' processes.
• Create SOP, work instructions and get the required approvals. Train operations team after work instructions approval.
• Handle multiple projects of small and medium sizes.
• Suppor current business solutions team as required.
• Train and build technical and process capabilities within department while providing technical expert support to other sites.

Requirements:

• Possess a Diploma/Degree preferably in Mechanical Engineering, IT Engineering, Process Engineering, Supply Chain or equivalent.
• Comprehensive understanding in Warehousing system.
• Experience with Data collection and statistical analysis.
• Knowledge in manufacturing systems e.g. CAD, SAP,ERP etc.
• Able to lead small Project teams and do SIT,UAT as per customer requirements.
• Proven project management skills.
• Good presentation skills and in MS Word, Powerpoint and Excel.
• Good to know the Industrial Engineering basics-VSM, process mapping, time
• studies

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

The Opportunity

• Adecco is partnering with a Technology Multinational Corporation company to search for a Java Engineer
• Focus: Develop, test, and deploy cloud-based applications and services (Flowable)
• Office location: Singapore
• 5 days week (Office Hour)
• This role starts off as contract position

The Talent

• Minimum of 5-7 years software developer experience
• Good working knowledge in Flowable and Cloud experience
• Strong working knowledge on the following: Flowable , JVM based languages such as Scala, Java and Kotlin, Web application languages such as HTML, CSS, JavaScript and React JS.
• In-depth knowledge of RESTful API designs and microservices.
• Knowledge of Source Code Management tools such as Git.
• Familiar with Agile development methodologies and good exposure to scrum ceremonies like Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective, Backlog Refinement.
• Awareness of “Clean Code” and clean coding practices.
• Test Driven Development and ability to design Unit, Integration and Functional tests.
• Must demonstrate strong familiarity of Design Patterns

The Job

• Develop, test, and deploy cloud-based applications and services using JVM-based languages (Scala, Java, Kotlin) and web technologies (HTML, CSS, JavaScript, React.js).
• Design and implement RESTful APIs and microservices to support scalable, distributed applications.
• Collaborate with cross-functional teams using Agile methodologies, participating actively in sprint planning, daily scrums, sprint reviews, sprint retrospectives, and backlog refinement.
• Apply clean code principles and coding best practices to ensure maintainability and readability of code.
• Conduct Test-Driven Development, writing comprehensive unit, integration, and functional tests to guarantee high-quality and robust applications.
• Utilize source code management tools like Git for version control and collaboration.

Next Step

• We could contact you in the soonest time if you directly send your resume to: [email protected]
• Email Topic: Apply: Java Engineer
• We regret to inform that only shortlisted candidates will be contacted

Ling Kai Hoe

EA Licence Number: 91C2918

Personnel Registration Number: R22106166

Gantry Associate Engineer (2 years contract renewable)

• 4 days, 12 hrs rotating shift from 7-7; first few months permanent night shift from 8.30pm-6am
• Currently the 4 days shift is spread from Monday to Saturday, 2 days off. Sunday is rotating standby.
• Location: Bedok office

Job scope:

• To perform comprehensive maintenance for system
• To perform site supervision and hands on when required..
• To perform troubleshooting and devise resolution when issues or faults arises.
• To communicate/supervise contractors on safety and work related tasks.
• To execute job related tasks assigned by Engineer/Shift Engineer.
• To complete reports for jobs done.

Requirements:

• Diploma in Mechatronics, Electrical or Electronics
• Willing to work at height (6 meters) on outdoor public road on gantries.
• Experience in electrical and electronic works.
• Class 3 driving license is required
• Experience in basic Microsoft office.
• Understand basic Window system.
• Experience in site supervision work.
• Understand in Mechanical/Electrical/Electronic system
• Able to work in 12 hours rotating shift, first few months will be permanent night shifts

☎️ Whatsapp +6588278652 (Hym)

Goh Hym Yien Reg No: R24121939

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Your Role

We are looking for an experienced Maintenance & Service Engineer/ Senior Technician responsibility for support troubleshooting and repair work on welding machine. You will perform preventive maintenance on machines and cost reduction. Support new equipment installation and major periodic maintenance activities as required.

What Will You Do

• Support Support production troubleshooting and repair on welding machine
• Perform preventive maintenance on machines and cost reduction
• Support new equipment installation and maintenance activities
• Other ad-hoc duties assigned by manager

What Do We Want

• Min Nitec/Diploma & above in electrical and electronic/ engineering / equivalent.
• At least 1-2 years & above of experience in electrical and electronic/ in service of welding products/system background.
• A team player with good communication and interpersonal skills.
• Willing to travel overseas

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3800 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Experience in web application development with an in-depth understanding of data structures, algorithms and software design principles.

• Exposure to cloud methodologies and experience with AWS or Azure is a plus. • Knowledge of AI/Machine Learning fundamentals.

• Experience in developing rich user interface using HTML5 and CSS3

• Experience working with NodeJS, Redux, Typescript, Webpack, NPM etc.

• Solid Proficiency in backend development including RESTful API, full-stack web-technologies, specifications and frameworks.

• Strong understanding of working with any databases like MSSQL/PostgreSQL/Oracle

• Experience building data models to support low latency reporting apps.

• Experience with software engineering best practices such as version control (e.g. git), CI/CD (e.g. Jenkins), testing, security and documentation

• Experience working on containerization and orchestration tools like Kubernetes and Docker.

• Bonus: Familiarity with common ML Ops tooling/platforms (i.e.) MLflow, Sagemaker, etc.

• Strong written and oral communication skills.

• Excellent problem solving and critical thinking with excellent ability to evaluate and apply new technologies in a short time

Company’s Profile
Singapore-based global distributor of automotive and industrial products, including tyres, alloy wheels, and utility vehicles. Founded in 1948, the company operates in over 100 countries through subsidiaries across Asia, North America, and Europe. YHI manufactures alloy wheels at plants in China, Taiwan, and Malaysia, and is recognized as an Original Design Manufacturer (ODM).

Benefits:
-Career Progression

- Performance Bonus

- Medical

- Dental ($250/year)

-Team bonding activities

- Birthday vouchers

- Annual increment

Salary Package:
- Basic Salary: $3000 - $3800

Working Location: West Coast

Working Hours: Mon - Fri 9am - 5pm

Key Responsibilities:

· Analyzing business requirements and translating them into technical solutions

· Identifying workflow inefficiencies and recommending improvements.

· Implementing and guiding end-users on Microsoft 365 applications.

· Automating workflows using Microsoft Power Platform tools (Power Apps, Power BI, etc.).

· Coordinating with stakeholders and vendors for application development schedules.

· Conducting testing, troubleshooting, and providing user support.

· Maintaining and updating applications, including documentation and user guides.

· Conducting training sessions on Microsoft 365 tools and related systems.

Requirements:

· Min. Diploma in any Engineering field or equivalent certification

· No working experience is required but must possess the required skill sets.

· Good Knowledge of Microsoft 365 Technologies, SharePoint Online and App-sheet is a must

· Proficient in Workflow automation using Power Automate is a must

· Knowledge of Business Process Automation, Procurement and Accounting

· System will be an advantage

· Possess any of the Microsoft Certification will be an advantage: MS-900, PL-900, PL-100, PL-200, PL-400, PL-500 and/or PL-600

Candidates without experience are welcomed to apply! On job training will be provided!

*Able to start work within short notice will be highly advantageous.*
**Please be notified that only shortlisted candidates will be notified**

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.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

Our client is a manufacturer in Oil & Gas industry. Due to business needs, they are now recruiting a Key Account Manager to join their sales team. They are located in the West - easily accessible.

Responsibility:

• Servicing and maintaining manual lathe machines, CNC machines, and deep hole boring equipment to ensure they are functioning at optimal capacity.
• Troubleshooting mechanical and electronic issues that could affect machine performance.
• Preventive maintenance to minimize downtime and ensure the longevity of the equipment.
• Performing detailed inspections and calibrations to maintain precision in machining operations.

Requirements:

• Min 2 years of maintenance experience for Deep Hole Drilling
• Min Diploma in engineering field

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R2198636 (Oh Puey Xin)