Job summary

Support project delivery across Software Development Life Cycle, including analysis, design, development, QA, UAT, maintenance, and ongoing support

Job Responsibilities:

• Support the delivery of projects in all aspects of Software Development Life Cycle including system analysis, design, development, quality assurance, UAT, maintenance and ongoing support
• Contribute to Agile software development lifecycle and be familiar with DevOps processes
• Collaborate with cross-functional teams to troubleshoot ERP system problems and streamline data exchange with external systems
• Assist in user training to enhance system understanding and utilization
• Analyze business processes to optimize system efficiency and align capabilities with organizational goals
• Gather and document system requirements from stakeholders for enhancement, ensuring data integrity and accuracy
• Customize and configure the ERP system to meet business needs, implementing access controls for security
• Develop reports, dashboards, and custom solutions using development tools and frameworks for insightful system performance analysis
• Stay updated on system releases, industry best practices and continuously identify opportunities for system improvement
• Assist with ad-hoc duties assigned by Manager

Job Requirements:

• Bachelor's degree in Information Technology/ Computer Science or related field
• Minimum 3 years of experience in full stack software development, including 3 cycles of implementation
• Proven expertise in ERP system support, analysis and customization
• Strong troubleshooting skills and proficiency in SQL and database management
• Solid understanding of object-oriented programming (OOP) concepts
• Proficiency in specific ERP development tools and frameworks (e.g., BAQS, Dashboards, BPMs, UD fields)
• Experienced in developing application using .NET Framework, C#
• Advantageous to have experience with Epicor, Navision and Microsoft development technologies like C/AL, Dynamics NAV/ Business Central, .NET and Azure
• Effective communication and interpersonal skills, able to work independently or within a team
• Strong analytical thinking and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

Key Responsibilities:

· Oversee and manage IT operations to support corporate and research functions.

· Manage IT infrastructure, including networks switches, firewalls, on-prem and cloud based servers and workstations, storage devices, and High Performance Computing cluster.

· Monitor and maintain cybersecurity posture. Ensure cybersecurity controls are implemented and maintained, identifying risks and recommending appropriate solutions. Conducted cybersecurity awareness training for staff.

· Provide support for all IT infrastructure to ensure smooth IT operations.

· Plan and implement IT projects.

· Manage vendor relationships, negotiating hardware/software contracts, and ensuring timely delivery of IT services and solutions.

· Other duties as assigned by supervisor.

Qualifications & Experience:

· Degree in Computer Science/Information Technology or equivalent.

· Min 8 years in IT infrastructure operations, with at least 2 years in a management or supervisory role.

· CISSP, CISA,CISM, PMP and MCSE certifications will be of added advantage

· Proven experience in managing vendors and stakeholders, ensuring effective IT service delivery.

· Strong communication skills with the ability to present and explain technical solutions clearly to both internal and external stakeholders.

· Excellent problem-solving skills and the ability to think critically under pressure.

· Self-starter with a proven track record to adapt and evolve with change.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Product area

Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

Job description

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.

You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

Qualifications

Job responsibilities

• Serve as point of contact for Network Capacity Delivery team responsible for the execution, implementation of network build, operations and maintenance across data centers, point-of-presence (POP) and colocations.
• Drive cross-functional global programs/projects including new product introductions to enable the network for Cloud and other Google product areas.
• Support and participate with Design teams, Deployment teams, Peering Negotiators, and Planners to deliver connectivity for the Google network.
• Translate common network solutions into standard and scalable BOMs and detailed design packages for selected internal or third-party parties to execute across multiple sites simultaneously, while providing technical support.
• Execute and troubleshoot capacity workflows for edge network devices in new and existing network nodes across Google's global network.

Minimum qualifications

• Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience.
• 2 years of experience in DWDM or TCP/IP or system design operations methodology.
• Experience working with Network designers, field operation technicians, engineers, contractors, or vendors in a Data center and telecommunications environment.

Preferred qualifications

• 2 years of experience in telecommunications at carrier scale working with optical network infrastructure, transmission systems, layer 2/3 routers, and data services.
• 2 years of experience in telecommunications, OSP, ISP, AC/DC power systems, and relay rack/cabinet/cage construction.
• Experience with Bill of Materials (BOMs), Deployment Package (DPK) device management and complete workflows, identifying network issues, and assisting in determining appropriate solutions.
• Experience in collaboration across multiple-levels and functions.
• Ability to engage/influence tactically and strategically decision-making.

Responsibilities

• Assists the Senior Manager in managing the safe, effective and efficient preparation, cleaning
  and repair of passenger trains so that the required number of trains is continuously provided
  for passenger service
• Manages, leads and motivates a group of Senior / Assistant Engineers and Senior / Technicians
  in the corrective and preventive maintenance of the DTL passenger trains
• Provides technical investigations and analyze structural, system or component problems on
  rolling stock and recommend solutions and trials
• Leads the reliability growth programme for DTL passenger trains
• Supervises and co-ordinates implementation of modification works and fleet-wide checks
• Monitors the performance of trial modifications and prepare reports recommending adoption
  or rejection of fleet-wide implementation
• Identifies staff’s training needs and implement training schemes. Identifies any hazards and
  implement control measures
• Maintains maintenance records and documentation in accordance with quality standards and
  procedures
• Act as Duty Rolling Stock Engineer on 24-hour call when required
• Carry out any other tasks assigned by Senior Manager and Deputy/HOD
• Investigates safety incidents that have occurred on train and clear them when appropriate
  action has been taken
• Monitors safety performance of trains and staff to seek areas for improvement
• Ensures all maintenance work is done safely at all times
• Undertakes monthly safety inspections as directed by HOD

Requirement

• Bachelor Degree in Mechanical / Electrical / Electronic Engineering
• Preferably at least 5 years of post-graduate working experience, with 3 years of relevant working experience in railway environment
• Strong people, planning and organizing skills
• Good analytical skills for problem-solving
• Good understanding of budgeting and financial control
• Strong commitment and strong sense of responsibility
• Resourceful, self-motivated and takes initiatives
• Result-oriented and able to work independent with minimum supervision
• Good team player with good communication skills
• Able to identify colours

We regret to inform that only shortlisted applicants will be notified.

On our Perception and Prediction team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.


What You’ll Be Doing:

You will drive R&D initiatives to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• Define and influence the direction of the team, organization, and/or department
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and leading others

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning or computer vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

On our Perception and Prediction team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.


What You’ll Be Doing:

You will drive R&D initiatives to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• Define and influence the direction of the team, organization, and/or department
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and leading others

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning or computer vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

We are looking for a Systems Engineer to support the institute’s IT infrastructure and operations. The candidate will provide level 2 and level 3 support for IT services, assist with new setups, as well as review and implementation security and compliance measures.

Requirements:

• Minimum Diploma or Bachelor’s degree in computer-related studies
• At least 5 years of relevant work experience
• Strong knowledge in servers and hardware technology
• Experience with open-source software packages and IT infrastructure services
• Good understanding of best practices and cybersecurity concepts
• Experience or strong knowledge in Linux system administration, scripting, storage, and security
• Experience with Virtualization and Containerization
• Knowledge in networking, firewalls, and routing
• Good interpersonal and communication skills
• Ability to work independently and as part of a team

Good to Have

• Familiarity with local scientific research environment.
• Experience with computational clusters (e.g., SLURM).
• Familiarity with Linux-based scientific tools and software.
• Experience with automation tools like Ansible or similar.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

We are seeking a skilled and proactive Network Maintenance Engineer to provide comprehensive support for multiple customer network environments. This role involves maintaining and troubleshooting a wide range of network devices, including routers, switches, access points (APs), Wireless LAN Controllers (WLCs), Cisco Identity Services Engine (ISE), as well as supporting Windows servers and laptops. The ideal candidate will have a strong background in helpdesk support, network and system maintenance, with a customer-focused and solution-oriented mindset.

Key Responsibilities:

• Helpdesk and Troubleshooting:
  • Act as the primary point of contact for support requests across multiple customer environments.
  • Investigate and resolve network and system-related issues, such as connectivity problems, faulty devices, or server issues.
  • Provide laptop and Windows server support, addressing common problems like login failures, configuration errors, and hardware issues.
  • Simulate customer environments to replicate and diagnose complex issues.
  • Document resolutions and create knowledge-based articles for future use.
  • Stay updated on changes across all supported customer environments.
• Maintenance and Change Request:
  • Replace or repair faulty network and system equipment, such as access points, switches, and laptops.
  • Implement minor network and system configuration changes, including enabling switch ports, changing VLANs, onboarding new devices to Cisco ISE, or updating Windows server configurations.
  • Firmware and OS patching for network and system equipment.
  • Ensure all network and system devices are operating optimally and securely.
• 24x7 Standby and Incident Response:
  • Participate in a 24x7 standby rotation with a duty phone for handling urgent incidents.
  • Respond promptly to calls and emails, diagnosing and resolving issues to restore normal operations.
  • Manage multiple incidents simultaneously, ensuring effective communication and resolution for all customers.
• Testing and Collaboration:
  • Test product updates, patches, and integrations to ensure compatibility and stability.
  • Collaborate with internal teams and external vendors to resolve complex issues.
• Documentation:
  • Maintain detailed and accurate documentation of network configurations, system setups, incident responses, and maintenance procedures.
  • Ensure all team members have access to up-to-date customer system information.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 1 year of experience as a maintenance engineer, with a focus on maintenance of enterprise environments, preferably in customer-facing roles.

Technical Skills:

• Proficiency in working with various network products, including Cisco, Juniper, Alcatel, and Aruba.
• Strong expertise in maintaining and troubleshooting network components such as routers, switches, APs, WLCs, and Cisco ISE.
• Experience in supporting Windows servers and laptops, including hardware and software troubleshooting.
• Familiarity with common system administration tasks like user account management, group policies, and server configuration.
• Ability to simulate customer environments for diagnostic purposes.
• Excellent communication and problem-solving skills with a customer-centric approach.
• Detail-oriented with the ability to manage multiple tasks simultaneously

Preferred Qualifications:

• Certifications in networking related technologies.
• Experience in a maintenance-focused role serving multiple external customers.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and customer service abilities.
• Ability to work under pressure and manage critical incidents effectively.
• Detail-oriented with a commitment to maintaining high standards of network and system reliability.

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Wärtsilä is a world leader in marine technology and leading the industry's transformation towards a decarbonised and sustainable future. With the world’s widest portfolio and service network, we – Wärtsilians - deliver efficient, safe and sustainable integrated products and solutions to enhance the business of our customers. The opportunities presented through digitalisation and new technologies are offering a new era of shipping. Did you know that shipping is the world’s most efficient mode of transportation and that approximately 90% of world trade is carried by sea?

We want to change the course towards an interconnected and cleaner maritime future and are constantly on the lookout for future-oriented talent to join our team and to work towards enabling sustainable societies through innovation in technology and services - together. Are you ready to jump onboard?

We are now looking for a Service Engineer to strengthen the Field Service Resource team in Singapore. This position requires travelling to locations in and around South East Asia – approximately 50- 100 travel days a year.

This is a permanent opportunity, and its location is Pandan Cresent, Singapore.

What will you be doing as Service Engineer?

Your work will focus on these responsibilities:

• Perform Field Service activities according to the work plan.
• Perform overhauls and repairs on assemblies on site and/or in workshops.
• Interact professionally with customers during the work execution.
• Perform internal and external progress status of the assigned work.
• Create the Service Work Reports.
• Ensure that the work is executed according to QSHE guidelines and site procedures and policies
• Follow-up and report on the status of work orders to customer and/or internal stakeholders.
• Continuously seek for solutions in according to best practices.

To be successful in this role, we expect you to have:

• Mechanical knowledge in propulsion equipment
• Self-motivated, analytical & fault-finding skills
• Mature, hardworking, have good anticipation with a problem-solving attitude
• A team player with a positive mindset & ability to adapt / work in a challenging environment
• Good written & communication skill
• Diploma or NITEC in Mechanical Engineering
• At least 2 year working experience in related field

At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.

This is Wärtsilä

Wärtsilä is a global leader in innovative technologies and lifecycle solutions for the marine and energy markets. Our team of 17,800 professionals, in more than 280 locations in 79 countries, shape the decarbonisation transformation of our industries across the globe. Read more on www.wartsila.com.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

We are looking for self-motivated instrument lead engineer targeting mainly at the Petrochemical, Bio, Pharmaceuticals, and the Oil and Gas industries. You will be exposed to different industries and be able to pick up plenty of experience and learnt not just on instrumentation but also application and plant operation process. The main scope of work is to lead our engineering team on the instrument service team and small-scale instrument installation project team which involves instrument maintenance, calibration, configuration, application, loop check, commissioning, install instrument, control cable laying, system panel cross wiring, update drawings, product after sales support. You are required on go on site for site survey, projecting bidding, supervise and coordinate site work and work together with our contractors.

Minimum 5 years of related experience is required with self-motivation and independant. Academic in instrumentation and control, electrical, electronic or mechatronic is preferred. Minimum ITE or Diploma related. Class 3 driving experience will be an advantage.

Successful applicants will join us as an extended family with work life balance and enjoy work flexibility and we believed in sharing with our employees.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

Job Title: Engineer (ID5079)
Location: Serangoon
Working Hours: Mon to Fri 8.30am - 6pm
Salary: $3200 to $4500

Job Description:
• Technical transfer product/project in assembly and testing, and from customers
• Provide technical support in manufacturing and testing in product build
• Provide technical support to QC in RMA issue
• Provide technical support to QA in Compliance, Regulatory, Customer & Audit

Requirement:
• Minimum Diploma in Electronics Engineering
• At least 2 years of relevant work experience in Electronics Manufacturing industry
• Technical competent to handle product/project manufacturing, transfers and troubleshooting
• Experience in product/project, PCBA manufacturing and testing
• Able to liaise with customer on technical matters
• Experience in manufacturing environment with ISO13485 & FDA preferred
• Good communication and problem-solving skills
• Medical product experience and Quality Management System exposure preferred

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirements:

• Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

This role comes with good base salary and attractive bonuses depending on sales performance.

Job Responsibilities

Provide pre-sales support for a range of CCTV and network technical solutions, including proposal development and technical presentations

Identify and develop business opportunities with clients, promoting solutions and delivering tailored technical proposals

Design and deliver competitive product solutions, ensuring alignment with client requirements

Collaborate with the sales team to ensure client needs are met, and provide technical expertise to drive sales growth

Build strong relationships with clients, understanding their business and technical needs, and providing timely support for inquiries and technical issues

Deliver product training to clients, enhancing their understanding and adoption of CCTV and network solutions

Job Requirements

Proven experience with CCTV products and solutions

At least 1 year of experience in the CCTV or networking domain

Excellent communication and influencing skills, with the ability to negotiate and align technical solutions with customer needs

Strong technical troubleshooting skills, with experience in resolving complex technical issues

Preferred certifications: CCNA, CCNP, or other relevant networking credentials

We regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

Data provided is for recruitment purposes only

EA Registration Number: R1332294

Business Registration Number: 201735941W

Licence Number: 18S9037

We are seeking a highly skilled AI Engineer specializing in Large Language Model to contribute to the development of a scalable and optimized South-East Asia foundation language model. In this role, you will collaborate with multi-region teams, adopting the advanced AI technologies and applying AI models and strategies to enhance business models. Your primary focus will be on following and crafting the advanced AI algorithms for South-East Asia language in the ecommerce domain.

Job Description:

• Contribute to the research and implementation of pre-training and alignment algorithms include ultra-large-scale multilingual pre-training technology, Mixture-of-Experts model training, Instruction Pretraining, SFT, and RLHF.
• Contribute to the explanation and safety improvement of AI, especially in trustworthy Large language models.
• Follow the frontier technologies and make comparisons about the advanced technologies to apply in business scenarios.
• Conduct experiments to test the performance of different AI models, identifying areas for improvement and exploring new directions for enhancement.
• Work collaboratively in a team environment, applying expertise in statistics, scripting, and relevant programming languages.

Requirements:

• Doctorate degree in Computer Science, Information Technology, Programming & Systems Analysis, or other related disciplines
• Excellent coding skills, data structure and basic algorithm skills, proficiency in Python/Pytorch coding.
• Minimum 1 year of research experience in basic principles and training methods of industry-leading LLM (such as GPT, LLaMA).
• Have research experience in text generation or dialogue systems
• Excellent problem analysis and solving skills, able to deeply solve problems in large model training and application.
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Job Description:

- Perform Civil, Structural Analysis and Design to meet project specifications

- Coordination and Liaise with Clients, Authority and Other Consultants, Contractors on Projects

- Ensuring Good Project Documentation and Submission to Authority and Clients

- Attend Project Meeting and Perform Inspections on Designed Works

- To Lead and Mentor Junior Engineer in Performing Engineering Task

- Reporting to Principal Engineer / Management

Job Requirements:

- Candidate must possess at least a Master's Degree /Bachelor's Degree / Post-Graduate Diploma / Professional Degree in Engineering (Civil/ Structural) or equivalent, recognized by Professional Engineering Board of Singapore

- At least 4 Year (s) of working experience in the related field is required for this position

- Good Working Attitude, Self-Motivated, Positive Thinking, Independent, Discipline, Attention to Details and Ownership of Tasks

- Familiar with Local Design Standard and Code

- Knowledge of Design Software, e.g., STAAD Pro, Plaxis, AutoCAD will be added advantage

Job Description:

• General Failure Analysis Engineer, 12 hours night shift
• Perform sample preparation (cross section, delayering, decapsulation) using FIB and other preparation techniques;
• Perform failure analysis using various tools and instruments such as CSAM, SEM/EDX, and X-ray;
• Communicate with customer for selecting proper analytical technique and data interpretation;
• Prepare analytical reports;
• Document new failure analysis operating procedures, training and certification specs;
• Participate/assist in new failure analysis techniques development;
• Perform routine instrument preventive maintenance and laboratory housekeeping;

Job Requirements:

• Diploma/Degree in Electrical / Electronic Engineering; Material Science Engineering; Science & Technology;
• Candidates with 2-3 years’ experience are preferred, candidates without experience are welcome to apply too;
• Must be able to perform FA study individually and work well in teams;
• Experience in other FA techniques including: Sample preparation (cross section, delayering, decapsulation) X-Ray and FIB would be a bonus;
• Experience in Wafer Fab/Semiconductor/LED/Solar/HDD industries would be useful;
• A team player who can be independent, hardworking with a persevering attitude; must be willing to perform night shift duty.

Position Overview:

Looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful Visualizations, and manage data workflows using Tableau, Databricks and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Roles and Responsibilities:

The Cloud Engineer applies extensive technical knowledge of cloud technology and infrastructure to develop and deploy hybrid/multi cloud solutions aligned with business objectives and security requirements. He/She plans and executes migration of infrastructure from on premise servers to the cloud and implements security controls.

He/She builds and maintains auditing and reporting tools that provide information on the current and historical status of infrastructure. He/ She develops Proof of Concept (PoC) and performs production engagements on the demo cloud. Monitors the performance through various APM / Cloud analytics tools to ensure infrastructure workload runs in high performance without errors.
Creative and comfortable in dealing with the diversity of tasks. Ensures that the proposed solution is feasible from multiple perspectives in the areas of ease of migration, affordability and security. You are proficient in CI/CD tooling as well as well setting up release pipelines.

Define Business requirements
• Liaise with stakeholders to understand business needs and technical requirements
• Advise stakeholder on industry trends and how new technologies can be leveraged to meet business objectives
• Translate high level technical requirements into infrastructure changes
• Define scope and feasibility of projects

Develop cloud solutions
• Design cloud infrastructure components in accordance with approved guidelines
• Recommend design improvements across areas such as cost savings, security, ease of use and reliability
• Develop Proof of Concept (POC)
• Identify key issues and priorities
• Develop plans to ensure successful recovery of operating systems during disaster
• Prepare detailed architectural and installation plans

Implement cloud solutions
• Implement cloud solutions and technology
• Develop plans to monitor and administer cloud management platform and associated tools
• Develop tools to deploy, manage, monitor and troubleshoot cloud based systems on or off premises
• Set up system-monitoring tools

Maintain cloud solutions
• Perform capacity and performance management analysis
• Maintain appropriate controls and documentation to ensure compliance with audit requirements and qualifications
• Provide ongoing support to users of cloud services
• Respond to incident tickets to troubleshoot and resolve problems with cloud solutions
• Participate in cloud audits and metric collection exercises

Requirements:

• Bachelor in Data Science, Computer Science, Information Technology, or a related field.

• Strong experience on web application solution
• Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS Fargate.

• Good to have experience in tableau, dashboard, reactjs
• Strong proficiency in SQL and data manipulation languages.
• Experience with ETL processes and data pipeline development.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with healthcare data and regulations is a plus.
• Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.
Preferred Skills:
• Experience with Python or R for data analysis.
• Knowledge of machine learning techniques and tools.
• Ability to design and implement data models and data architecture.
• Certification in Tableau, Databricks, Sagemaker or AWS is a plus.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• Experience in cloud -based data platform.
• An understanding of finance data is a plus.

Job Title: Tooling Engineer (ID4607)
Location: : Woodlands
Working Hours: Mon – Fri 8.15am – 5.10pm, Alternate Sat 8.15am-12.45pm
Salary: $3500-$4000


DUTIES AND RESPONSIBILITIES:
1. Ensure Meeting all IATF16949 and Customer Specific Requirements.
2. Develop and improve Tooling/Molds for new and existing products.
3. Monitor and improve production output and yield of the new/existing Tooling/Molds.
4. Improve product quality and manufacturing capabilities of the new/existing products.
5. Devise action plan to address customer feedbacks/complaints, thus implementing Tooling/Molds improvements on new/existing products, and keep track till it meets customer's requirements.
6. Participate and implement cost improvement initiatives.
7. Conduct process-mapping, data collection, analyze data, makes inference, implement & track.
8. Provide daily production support to the Molding Operation.
9. Provide timely reporting to the Head of Department pertaining to work activities, progress and results.

OTHER DUTIES:
1. Participate in a Special Task Force as and when the needs arise.
2. Participate in Committee, for example, Safety Committee, Environment Committee, etc
3. Participate in Industries 4.0 digitalization.
4 Must have SOLIDWORKS experience.

(Hiring for new branch located at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Mon.- Fri. office working hours
• Salary Range: Basic salary $2,600 ~ $3,500 + Incentive/Commission + Creative Performance Bonus)

Responsibilities

• Responsible for developing long term customer relationship and maximizing customer retention;
• Support on pre-sale and post-sale, not limited to solution proposal on technical requirement, design & budget control, timeline management, etc. based on projects;
• Participate in industrial related exhibitions, marketing campaigns/events;
• Other ad-hoc duties assigned by the superior.

Qualifications

• Min. Higher Nitec in Engineering (any field), or equivalent;
• Entry level applicants with the right learning attitude and positive minder are welcome to apply as comprehensive On-Job-Training will be provided;
• Excellent written and oral communication skills
• Pro-active, possess technical and Negotiation/social problem-solving skills with attention to details;
• Posse valid Class 3 driving licence is a MUST

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work.

(We regret to inform that only shortlisted candidates will be notified)

You will be a key contributor to our AWS Cloud migration project, responsible for designing, implementing, and maintaining seamless integrations between various software applications, components and systems. Your expertise in application integration using OSB and AWS Cloud services will play a key role in ensuring the success of our migration efforts.

• Design, develop, and implement integration solutions for applications migrating to the AWS Cloud platform.
• Prepare detailed migration plans, timelines, and risk mitigation strategies.
• Collaborate with cross-functional teams to understand business requirements and implement effective integration strategies.
• Work closely with the migration team to execute the migration of applications to the AWS Cloud.
• Create and implement APIs to facilitate communication between applications and services.
• Ensure API designs adhere to best practices for scalability, security, and performance.
• Collaborate with team members to troubleshoot complex problems related to integration processes.
• Conduct thorough testing of integration solutions to ensure functionality, performance, and data accuracy.
• Collaborate with QA teams to develop and execute test plans for integrated systems.
• Provide documentation for troubleshooting and support purposes.
• Create and implement APIs to facilitate communication between applications and services.
• Ensure API designs adhere to best practices for scalability, security, and performance

Must Have:

• Degree in Computer Science, Computer Engineering or equivalent.
• In-depth knowledge and hands-on experience with Enterprise service bus such as OSB (Oracle Service Bus), including configuration, deployment, and management.
• Strong experience in OSB service routing, mediation, message transformation, and integration patterns.
• Ability to manage integrations & authentication between OSB and various systems, ensuring secure connection.
• Experience in JMS (Java Message Service) configuration and administration, including message queuing and reliable message delivery.
• Experience with Oracle WebLogic Server administration, including installation, configuration, and troubleshooting.
• Ability to handle performance tuning, monitoring, and scaling of OSB and associated components in AWS, ensuring optimal performance and reliability.
• Strong understanding of RESTful APIs, SOAP, and other communication protocols.

Good to have:

• Proficient in API Gateway (e.g., Broadcom Layer7, AWS API GW), including configuration, deployment, and administration of APIs and policies.
• Experience with API gateway features such as routing, transformation, rate limiting, and content-based routing.
• Knowledge of API gateway security mechanisms, including authentication & certificate management.
• Knowledge of migration strategies and best practices for transitioning from on-premises API Gateway to AWS, potentially using AWS API Gateway.
• Ability to adapt API gateway configurations and features to fit AWS API Gateway capabilities and requirements, ensuring seamless transition and optimization.