Job Description

• Industry/ Organization Type: Marine Equipment Wholesaler
• Position Title: Sales Engineer
• Working Location: Tuas West
• Working Hours: Monday – Friday, 9am – 5.30pm (One Saturday per month, 9am – 12pm)
• Salary Package: Up to $4,000 + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Identify and develop new business opportunities by expanding the customer base.
• Prepare detailed sales reports, monitor project progress
• Act as the primary point of contact between various suppliers and customers to meet project and sales objectives.
• Contribute to achieving the company’s overall sales and marketing goals by aligning with the strategic plans.
• Manage any additional tasks assigned.

APPLY NOW!!!

• Degree in Mechanical, Electrical, or related Engineering fields.
• Willingness to travel across various Asian countries for sales promotions and client meetings.
• Proficiency in Microsoft Word, Excel, and PowerPoint.
• Inexperienced candidates are welcome to apply as training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #70294 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114

Job Summary
• This role is responsible for driving a team of machine learning engineers and data scientists, guiding the development of machine learning software. The role collaborates with business stakeholders to understand goals and define machine learning product requirements. The role develops product roadmaps, allocates resources, and sets clear milestones for the team.

Responsibilities
• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Designs machine learning systems, runs machine learning tests and experiments, and retrains systems when necessary.
• Delivers results according to product strategy schedules and quality while maintaining SLAs on velocity, productivity, and quality.
• Trains, tests and deploys machine learning models for multiple products.
• Participates in design reviews with peers and stakeholders to decide among available technologies.
• Collaborates with data science and engineering teams to integrate machine learning solutions.
• Engages in state-of-the-art research in AI and ML, ensuring the team remains at the forefront of the industry.
• Leverages deep algorithmic knowledge to design and implement robust machine learning solutions.
• Maintains a high-performing team.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Knowledge & Skills
• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

#LI-POST

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

Job Description & Requirements

Job Description & Responsibilities:

The Lead Quality Engineer will:

a) Cultivate a continual improvement culture and “design for quality” mindset within the project team.

b) Collaborate with cross-functional teams to ensure project processes comply with project specifications and Company requirements during the FEED and Execution Phases of the project.

c) Assist the Project Quality Manager in implementing the Project Quality Plan, which is developed by the Standards and Compliance section of the Project Management Office.

d) Assist the Project Quality Manager to ensure that the Project Execution Plan is duly followed by the Project Team.

Key Responsibilities

• Quality Focus: Develop and review Quality documents ensuring alignment to Company and Project requirements during FEED and Execution Phases.Assist the Project Quality Manager to implement and maintain the Project Quality Plan and other quality deliverables as per Company requirements.Conduct and participate in project audits according to the audit program, monitoring the resolution of findings and corresponding corrective actions.Review, comment and approve Subcontractor / Supplier documents based on Company and Project requirementsAssist in setup and coordination of Classification Society (CS) and Regulatory Compliance (RC) management framework together with CS and RC coordinators.
• Collaborative Coordination Engage with different departments, suppliers, and subcontractors as necessary to integrate quality requirements into project specifications.Assist to attend Technical Bid Clarification Meetings (BCMs) and review/response Technical Bid Clarifications during Feed PhaseAssist in planning, promoting, organizing, and conducting QAQC training activities for the project team and subcontractors.Assist to attend Pre-Inspection Meetings with Supplier Quality Engineers/Vendor Inspection Coordinators and Package Manager/Engineer on critical equipment and packages.
• Analytical Skills and Problem Solving:Monitor quality trends and prepare and present reports to the Project Quality Manager and relevant teams as needed.Collect, compile, and analyze relevant quality statistical data to measure/monitor quality performance level against project KPIsInvolve in investigation and addressing customer complaints regarding quality.Coordinate and monitor the root cause analysis of non-conformities, correction and corrective actions, and site observations.

Job Requirements

• Experience: Min10 years of QAQC experience with at least 3 years in a leadership/supervisory.
• Skills: Proven track record with strong coordination skills.Excellent planning and organizing skills.Excellent communicator Excellent collaborator with cross-functional teams In-depth knowledge of quality management system (ISO 9002, API Q1/Q2)

Responsibilities

• Provide day-to-day support of IT computing devices and troubleshooting via emails, phone calls, and walk-ins
• Perform first level support to troubleshoot and solve technical issues
• Perform L2 and L3 escalations if necessary and required
• Ensure and follow help desk procedures for all call and ticketing tracking from start to end (initial support to resolution)
• For outstanding issues pending user response, report and alert the IT Manager / POC for internal escalation procedure
• Interface with other maintenance vendors (vendor management) for problem reporting and resolution
• Perform IT project rollout as planned by the Customer, including new PC purchase. receiving, move and change (IMAC Services)
• To be responsible for accurate record keeping, tracking and processing of all documents related to IT
• Any other ad-hoc duties assigned by supervisor

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Service Engineer

Salary: $3,000 - $4,000 + OT + AWS + Performance bonus

Working Days: Monday - Friday (8:30am – 4.30pm)

Working Location: Tuas (Company pick up available - West & North)

Our client is one of the world's largest manufacturers of hydraulic mobile cranes, and it has a wide product range.

Job Description:

• Product delivery training to distributors and customer
• Provide diagnosis guidance and analysing of fault found to Distributor / End-user, remotely via emails and/or calls
• Carry out field services at site in local and ASEAN countries.
• Furnish service report and recommendation of spare parts, assisting Parts team to locate correct spare parts from parts catalogue.
• Furnish Warranty claims and Quality report to drive quality improvement on our products.
• Willingness to work beyond office hours if required and any other ad-hoc duties assigned from time to time.

Requirements:

• Diploma and/or certificates in Engineering with relevant working experience in construction machinery industry
• Able to read and understand Electrical, Hydraulic and Pneumatic schematic diagram
• Possess valid Class 3 Driving License

Email: [email protected]

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Responsibilities

· Develop and implement supplier quality monitoring systems to ensure materials and components meet quality standards. Identify and address any non-conformance issues with suppliers.

· Collaborate with suppliers to optimize their processes, enhancing yield and ensuring consistent quality of materials and parts.

· Lead efforts to address and resolve abnormal quality issues with suppliers, implementing corrective and preventive actions.

· Conduct supplier audits to assess quality systems, process capabilities, and compliance with industry standards. Drive improvement initiatives based on audit findings.

· Work with suppliers to develop their quality processes, ensuring alignment with company standards and customer expectations.

· Coordinate with design, production, and procurement teams to ensure seamless communication and alignment on quality expectations from suppliers.

· Promote a culture of continuous improvement by working closely with suppliers to enhance their quality management systems and manufacturing processes.

Requirements

· Bachelor’s degree or above.

· Proven experience in supplier quality engineering, particularly in a manufacturing or electronics environment.

· Strong knowledge of supplier quality management systems and standards. Excellent analytical, problem-solving, and negotiation skills.

· Familiarity with supplier audits, corrective actions, and continuous improvement processes.

· Certification in Six Sigma or similar is a plus.

· Willingness to travel extensively and work abroad in China or Vietnam at least 10 months per year.

To find out more about this opportunity, please contact Lionel Liew at [email protected].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lionel Liew | Registration No: R1330693

Responsibilities

• Provide analysis and dispositions on non-conformance products in accordance to requirements
• Perform inspection and verification (visually or using measuring tools) on product on hold due to quality issues
• Work closely with supervisor & team to monitor project status and closures (team coordination)
• Communicate with customers status of quality projects assigned to his/her area of responsibility
• Prepare regular reports and meet submission deadlines (weekly, monthly)
• Actively participates with internal team projects analysis

Requirements

• Degree in Electronics or Engineering or related field with relevant experience in electronics / semiconductor / or other manufacturing industry
• Entry level candidates are welcome to apply
• Basic knowledge in Microsoft Office (Word, Excel, PowerPoint)
• Team player with good written / verbal communication and interpersonal skills
• Strong sense of urgency with ability to meet deadlines and work independently
• Knowledge in basic manufacturing solving problem tools (8D, FMEA) and statistical tools (SPC) is an advantage.
• Highly motivated to learn new skills / systems / analytical tools used in manufacturing operations

Responsibilities and Tasks:

• Responsibilities and Tasks:
• Drive system improvements and assist with projects related to various MES applications
• Drive global alignment of Best Known Methods for system setup, for both Traveler and Process Control
• Work on projects that optimize MES system setup
• As the application owner, deliver training and provide feedback to the team on any trouble shooting or problem solutions
• Deliver software system enhancement, training, updates, and upgrades
• Provide automation solution for continuous systems and productivity improvements

Requirements ;

• Masters/Bachelors in any engineering disciplines

Qualifications

• Excellent verbal and written communication skills and the ability to present data in large meetings
  
• Proven ability to coordinate efforts across a variety of groups.
  
• Working knowledge of Fab processing
  
• Strong data analysis and computer skills
  
• Proven ability to utilize programming tools (C++, SQL, Python, R, Visual Studio) a plus
  
• Proven ability to organize and prioritize multiple tasks effectively
  
• Proven ability to make sound, informed decisions
  
• Proven ability to lead and coordinate meetings
  

Based in Singapore, the iOS Software Engineer is responsible in developing native applications of Screening Eagle and Proceq tools - ensuring robust, user friendly and easy to maintain applications.

What will you do

• Develop new user-facing features;
• Translate designs into high quality code;
• Optimise components for maximum performance;
• Explore and apply the latest technologies;
• Motivate team members and give constructive advice.

What do we expect

Basic Qualifications

• BA/BS Degree in Computer Science or equivalent practical experiences;
• 3+ years programming experience in iOS, and less experienced candidates will be considered for junior roles;
• Proficient with debugging runtime issues and performance optimisations;
• Proficient with writing unit tests using XCTest framework;
• Experience with Git version control system;
• Familiar with continuous integration & deployment system (CI/CD).

Preferred Qualifications

• Deep understanding in various design patters and architectures;
• Know how to optimize code using various techniques;
• Full stack skills (also know backend and web etc.);
• Know computer vision, data science, machine learning and natural language processing;
• Have personal projects at GitHub with 100+ stars;
• Experienced in coaching junior developers;
• Experienced in open source projects.

With a vision of making an impact on Asia’s healthcare landscape and an aim to push healthcare beyond current times, Speedoc is passionate about making healthcare more convenient, accessible, and affordable to all. This is done by providing a full suite of tech-enabled healthcare services on demand including doctors, nurses, allied care professionals, ambulances, and medication delivery across Singapore and Malaysia.

Speedoc is an innovative healthcare start-up that is entrusted by brands and agencies including the Ministry of Health, and Temasek Holdings as a partner to deliver projects in public health. Speedoc positions itself at the forefront as the market leader in the digital healthcare landscape and the team constantly identifies opportunities for growth, improvement, and game-changing initiatives that can be implemented in our ever-expanding product roadmap.

With 3 engines of growth across B2G, B2B, and B2C, we are seeking a highly independent talent to join our team.

Job Responsibilities

In this role, you will work on end-to-end data projects (from source to pipeline to dashboard) and become a subject matter expert on data. You will get exposed to multiple facets of a healthtech startup by working with stakeholders across different teams (such as marketing, finance, operations, product) to understand business challenges, build data solutions, discover actionable insights and make recommendations to drive the company’s growth.

The Data team within Engineering is a lean team. You will get to initiate and lead your own projects to derive data-driven insights for stakeholders from cross-functional teams.

Responsibilities:

• Business Insights: understand business models and apply data analytics methods to formulate actionable insights and recommendations.
• Stakeholder Partnership: collaborate with stakeholders to understand business needs and requirements, perform data-driven analysis to value-add stakeholder decision making.
• Analytical Modeling: formulate models for segmentation, prediction and forecasting.
• Presenting Data and Insights: create dashboards, visualizations and presentations to aid and advance decision making.
• Data Excellence: build data pipelines, maintain data warehouse, troubleshoot data quality issues, and contribute to overall data strategy

We're looking for:

• Problem solvers with intellectual curiosity
• Ability to work independently and take initiative and ownership of projects
• Ability to learn quickly and juggle multiple tasks in a fast-paced environment
• Strong written, verbal and interpersonal communication skills to collaborate with both technical and non-technical teams
• Strong business mindset and ability to grasp business requirements from stakeholders

Senior Equipment Engineer

Yishun, Singapore

Who We Are:

Lumileds is a global leader in OEM and aftermarket automotive lighting and accessories, camera flash for mobile devices, MicroLED, and light sources for general illumination, horticulture, and human-centric lighting. Our approximately 5,500 employees operate in over 30 countries and partner with our customers to deliver never before possible solutions for lighting, safety, and well-being.

The Lumileds environment is fast-paced, cutting-edge, intelligent and fun! We are looking for exceptional talent to join our team! To learn more about our company and solution portfolios, please visit https://lumileds.com

Who You Are:

Dynamic, energetic, able to work in an organization within a department and cross-functions

Position Summary:

Lumileds is seeking a highly-qualified Engineer to take responsibility for Equipment ownership, ensuring equipment indices like MTBF, MTTR, uptime are met. Work with process and industrial engineers and Manufacturing to address issues pertaining to hardware. Work with vendors on equipment retrofit, upgrades and CIP.

What You Will Do:

• Equipment owner for PVD (Sputtering or evaporation) tool of Thermal Processing (Furnace or Rapid Thermal Process) tool.
• Drive equipment fault investigations and continuous improvement programs to resolve chronic equipment issues, and implement permanent resolutions to assure product quality and enhance process robustness.
• Maintain optimum utilization of equipment and resources, drive MTBF, MTTR and increase equipment throughput.
• Establish equipment maintenance controls, review and perform regular update of PM procedures, Risks Assessments and Troubleshooting guidelines.
• Perform simple modification on PVD (Sputter or Evaporator) or Thermal processing (Furnace or RTP) production equipment to improve machine efficiency and reliability.
• Work with Equipment Supplier for tool retrofit and to resolve equipment issue
• Drive cost reduction to weed out unwarranted expenses/wastages and improve equipment performance.
• Work on projects to establish alternate supplier to reduce cost.
• Establish sufficient essential spares and consumables stock levels to support equipment maintenance.
• Lead and guide shift technicians on all equipment maintenance. Provide effective equipment trainings to the technicians to build up their technical competencies.
• Perform other duties as assigned by the manager. Duties will vary according to the project progress and/or the specific goals of the module.

What You Will Bring (REQUIRED Qualifications):

• 5 years’ working experience in wafer fabrication industry.
• Hands-on experience working on PVD (sputter/evaporation) or Thermal Annealing/Diffusion tools is required.
• Candidate with strong vacuum and plasma technical knowledge or has similar working experience in equipment maintenance is welcome to apply.

Education (Minimum Level)

· Bachelor's

Field of Study

Engineering (Electrical/Electronics, Material Sciences, Mechanical or equivalent

Years of Experience (Minimum)

· 5 - 7 years

Lumileds is an Equal Employment Opportunity Employer

Requirement:

1. Minimum Diploma in Mechanical Engineering or related qualification.
2. Minimum 1 years of working experience in Facilities maintenance.

Job Responsibilities:

• Coordinate, sponsor and supervise contract service provider to performance work activities
• Adhere to company’s environmental safety health policy and procedure, standard operating procedure with risk assessment, housekeeping and quality
• Plan, schedule and perform Preventive and Corrective Maintenance work activities on mechanical equipment and system
• Troubleshoot and attend to abnormalities in support of Operations in a timely manner
• Participate in mechanical equipment and system abnormalities root cause analysis, then execute corrective and preventive action for continual improvement, this includes installation and modification work on existing or new mechanical system.
• Utilize computer base software to document record of work order and equipment history.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R22090617 | Zhao Zi Yuan (Anna)

Job Responsibilities:

· Assume responsibility for technical assignments involving basic or applied research or the design and development of Electrical hardware products. Includes design, fabrication, modification and evaluation of electromechanical devices, components or systems.

· Devise initial concept of assigned device, component or system and participate in the overall detailed Electrical perspective of product design.

· Creates original hardware, circuits, components, software, processes, and models to prove the feasibility of the design approach being investigated. Inclusive of Electronics and PCBA

· Participate in design review by providing inputs relating to DFM and DFA, etc.

· Prepare and release Engineering drawings/schematics while communicating to local vendors to expedite delivery of design parts and assemblies.

· ECO release of engineering documentation.

· Design of AC/DC power distribution systems including selection of circuit breakers, power supplies, contactors and cabling harnesses. Knowledge of PCBA Design, component selection and trouble shooting.

· Develop, test and document designs

· Develops estimates for products and projects. Power consumption, weight, size and schedule.

· Coordinates with manufacturing during pilot run and first production runs to ensure efficient transition from engineering into production.

· Interface effectively with customer to understand technical requirements and propose quality solutions.

· Possesses good electrical troubleshooting skills, and is able to troubleshoot at customer sites.

· Interfaces effectively with other organization such as Purchasing, Marketing, Service, and Quality Assurance as needed to carry out responsibilities

· Assists engineering management in developing schedules and specifications for new and legacy products.

· Maintains a high level of technical competence and state-of-the-art awareness.

· Directs engineering and technical support personnel as required.

· Maintains a high level of technical competence and state-of-the-art awareness.

· Performs other related duties as assigned.

Requirements:

· Bachelor’s Degree plus 6 years’ Experience or Masters Degree with 3 years’ Experience in Electrical/Electronics/Mechatronics Engineering

· Working knowledge of electrical systems including motion, temperature measurement, PID loops, and safety interlock circuits.

· Experience working on dynamic electromechanical system design

· Proficient user of orcad, autocad, pcad, Solidworks or similar 3D CAD Software

· Design knowledge on NFPA, Semi Safety Requirements, and Machine safety.

· Good command of written and verbal English

· Possess good communication skills.

Job Title: Assistant Air-Conditioning/Refrigeration Engineer
Company: PROMACH PTE. LTD.
Location: Singapore
Employment Type: Full-Time

About the Role:

PROMACH PTE. LTD. is seeking an experienced Assistant Air-Conditioning/Refrigeration Engineer with at least 1 year of experience to join our team. This role involves working closely with site supervisors, contractors, and clients to ensure the successful execution of air-conditioning and refrigeration projects. Candidates who can acquire new projects will have an added advantage.

Key Responsibilities:

• Co-ordinate job activities at the site, ensuring that all work is carried out according to the project plan.
• Assist Site Supervisors in managing daily operations, ensuring tasks are completed on schedule.
• Manage contractors and subcontractors to ensure smooth collaboration and adherence to project requirements.
• Ensure smooth and effective communication with clients, addressing any queries or concerns promptly.
• Provide regular updates and reports on project progress to management and clients.
• Support the implementation of M&E systems at project sites.
• Acquire new projects and business opportunities for the company (added advantage).

Requirements:

• Minimum of 1 year of experience in air-conditioning and refrigeration systems.
• ITE, Diploma, or Degree in Mechanical, Electrical, or related Engineering fields.
• Able to understanding of HVAC systems, job site coordination, and client management.
• Ability to manage contractors and ensure project deadlines are met.
• Strong organizational and communication skills, especially in handling client interactions.
• Proficiency in Microsoft Office (Word, Excel) is a plus.
• Ability to acquire new projects will be considered an added advantage.

What We Offer:

• Opportunities for career growth and development.
• Competitive salary package based on experience.
• Supportive and collaborative work environment.
• Hands-on experience with diverse projects in the air-conditioning and refrigeration industry.

Job Overview:

As an AIGC/ Gen AI engineer, you will be responsible for pushing the boundaries of image & video generation technology for online AI applications. You will design and implement advanced image & video generation models capable of generating target images with different styles (e.g., in news, gaming applications). Additionally, you will stay abreast of the latest research developments in the image & video generative-AI technology field to ensure our solutions remain industry-leading.

As an AIGC/ Gen AI engineer in Singapore, you will design and implement image & video generation models to support the content generation tasks in AI application. Key domains of focus include text to image generation, image to image generation, text to video generation, and image to video generation.

Responsibilities:

• Investigate and apply the latest image/video generation models for various AI applications (e.g., gaming and news).
• Design and develop the text to image, image to image, text to video generation methods based on application objectives.
• Fine-tune the image and video generation models based on different targets, e.g., to generate images/video in different styles.
• Develop and train other relevant models (e.g., LoRA, ControlNet) to optimize generative content quality.
• Model inference and speed optimization to achieve online application latency requirements.
• Ability to identify the reasons on generated image/video quality issues, and find out possible solutions.

Requirements:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Electronic Engineering, Data Science, or related fields.
• A minimum of 2 years of hands-on experience with the latest image or video generation models, such as SDXL, SD 3 medium, stable video diffusion, etc.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) with experience in building end-to-end online image/video generation applications (e.g., in chatbots/agents).

Roles & Responsibilities

· Design, deploy, and manage CI/CD pipelines to ensure smooth and consistent delivery of software to production.

· Administer, scale, and optimize Kubernetes (k8s) deployments, ensuring high availability and fault tolerance for all applications.

· Architect and maintain microservices infrastructure, ensuring seamless communication, efficient scaling, and robust security.

· Implement, customize, and oversee monitoring solutions for proactive detection of system anomalies and performance bottlenecks.

· Lead capacity planning and resource management efforts, leveraging pressure testing to benchmark, tune, and enhance system performance.

· Swiftly identify, troubleshoot, and remediate issues affecting critical service operations, ensuring maximum uptime and minimal disruption to users.

· Proactively participate in the creation, maintenance, and enhancement of Standard Operating Procedures (SOPs) to ensure uniformity in operational tasks.

· Manage high-severity incidents and events with significant customer impact, focusing on rapid detection, analysis, and recovery while coordinating with cross-functional teams.

· Innovate and develop automated operational tools and systems to minimize manual interventions and streamline processes.

Collaborate closely with development, QA, and business teams to align infrastructure and operations with organizational goals and customer needs.

Knowledge & Competencies:

· Bachelor's or higher degree in Computer Science, Information Systems or related fields

· Hands-on experience with at least one of the programming languages: Bash, Go, Python

· Good command of Linux environment with deep understanding of the Linux Operating System, including Kernel, Memory, Process, Threads, Static / Shared Libraries, IPC, Signals

· Understanding of standard networking protocols such as HTTP, DNS, SSL, TCP/IP, ICMP

· Experience in large-scale distributed environments. Familiarity with distributed systems including the CAP Theorem, Microservices

· Experience with container technology such as Docker, Kubernetes

· Experience with monitoring tools like Prometheus, Zabbix

· Strong sense of ownership, customer service, and integrity demonstrated

· Passion for eliminating repetitive manual processes using automation

· Fast learning ability and a good team player

Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ

Job Summary
• This role is responsible for driving a team of machine learning engineers and data scientists, guiding the development of machine learning software. The role collaborates with business stakeholders to understand goals and define machine learning product requirements. The role develops product roadmaps, allocates resources, and sets clear milestones for the team.

Responsibilities
• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Designs machine learning systems, runs machine learning tests and experiments, and retrains systems when necessary.
• Delivers results according to product strategy schedules and quality while maintaining SLAs on velocity, productivity, and quality.
• Trains, tests and deploys machine learning models for multiple products.
• Participates in design reviews with peers and stakeholders to decide among available technologies.
• Collaborates with data science and engineering teams to integrate machine learning solutions.
• Engages in state-of-the-art research in AI and ML, ensuring the team remains at the forefront of the industry.
• Leverages deep algorithmic knowledge to design and implement robust machine learning solutions.
• Maintains a high-performing team.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Knowledge & Skills
• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

#LI-POST

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

Job Description:

• Analyze SPC charts using SPACE. Know all the PR rules and their significance. Do proper annotation to maintain quality troubleshooting rate for SPC OOC. Understand Cp and Cpk indices
• Monitor critical SPC charts daily. Perform process window study and provide improvement plan to reduce OOC and improve CPK
• Analyze split lot, DOE data, ET, sort yield using JMP, Klarity ACE.
• Create SPC charts, DCOP and modify SLDB using PROMIS (Si-View).
• Upload recipe, check recipe and ensure recipe content compliance using RMS.
• Follow up on SPSR, MRB, 8D, TECN, or spec update with ECN.
• Setup and troubleshoot in recipes/ job files in all metrology tools within the Module.
• Follow up on passdown to troubleshoot process issues. Establish CAS / procedures to be followed and work with other departments for resolution if required.
• Startup and qualify new process and new equipment within scheduled timeline. Work closely with the Equipment Engineer on new equipment acceptance. Know the concept of repeatability and reproducibility (R&R) run.
• Work on reducing process constraint so that Mfg can have more flexibility.
• Perform process matching between equipments to reduce variation and analysis / DOE to find factors for better tool matching.
• Participate in CIP programs to optimize process window, cost, yield, and productivity.
• Work as a team with both Equipment and Mfg Engineers to meet Module objectives. Work to meet the key indices of Uptime and OEE goals.
• Represent own Module to attend cross-functional task team to address yield improvement/ excursion issues. Follow up with cross-fab benchmarking activities to engage the best-in-campus practices across fabs.
• Self audit and update specifications/ documentation to meet TS16949 Quality Standard requirements.
• Follow good housekeeping and safety rules in office and FAB.
• Provide feedback/ training to AEs or Techs on their troubleshooting skills, understanding of processes, decision making, risk assessment.

Requirements:

• Degree in Electrical / Electronics / Microelectronics / Chemical Process / Chemistry / Physics
• Min 2-3 years of relevant work experience in Etch Process
• An excellent team player with good interpersonal, communication and written skills
• Strong logical thinking capability and good analytical skill
• High level of integrity with strong leadership attributes to lead and coach a team
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Position: Mechanical Project Engineer
Location: Singapore
Employment Type: Full-Time

Job Overview:

We are seeking a highly motivated and experienced Mechanical Project Engineer to join our team for exciting data centre projects. The ideal candidate will have a strong background in mechanical engineering and hands-on experience working on data centres. This role will focus on ensuring the successful planning, coordination, and execution of mechanical systems within data centre environments.

Key Responsibilities:

• Project Coordination: Assist in planning and managing the mechanical systems for data centre projects, ensuring compliance with design specifications and project timelines.
• System Design and Implementation: Oversee the installation of HVAC, cooling systems, and other critical mechanical infrastructure.
• Vendor and Contractor Management: Coordinate with contractors and suppliers to ensure proper installation and integration of mechanical systems.
• Mechanical Systems Testing: Conduct tests and inspections on HVAC and cooling systems to ensure optimal performance.
• Troubleshooting and Problem Resolution: Identify issues in mechanical systems during construction or post-installation and provide solutions in a timely manner.
• Documentation: Prepare and maintain accurate project documentation, including technical reports, drawings, and schedules.
• Collaboration: Work closely with the project manager, electrical engineers, and other stakeholders to ensure mechanical systems align with the overall project goals.
• Health and Safety Compliance: Ensure all mechanical engineering activities comply with local regulations, codes, and safety standards.

Job Requirements:

• Experience:At least 3 years of experience in mechanical engineering, with a minimum of 1 year working on data centre/oil and gas projects.
• Strong understanding of HVAC, cooling systems, and mechanical infrastructure in data centres.
• Problem-Solving Skills: Ability to troubleshoot mechanical issues efficiently and recommend solutions.
• Communication: Excellent communication skills for interacting with contractors, vendors, and project teams.

• 14th-month AWS & Performance Bonus
• 5-days work week
• Job Stability, Career Growth, Comprehensive Group Insurance

Job Description:

• Provide the latest information on product specifications and applications in the market as a reference for customers when designing products
• Discuss and understand customers detailed technical requirements, assess specific questions, and adapt the necessary training delivery approach
• Understand the customer industry, industry competition and market conditions by interacting with customers
• Actively understand customer needs and respond quickly
• Performs duties well, supports team decision, and achieves common goals
• Attend lessons and test conducted by suppliers

Job Requirements

• Graduated with a Degree or Diploma in Engineering, Electronics, Physics, Chemistry or related is mandatory.
• At least 1 year's experience in technical customer support or technical training.
• Driven by helping others, customer focused and a problem solver.
• Candidate must be able to converse in Chinese (Mandarin), in order to communicate with our HQ Taiwan Chinese-speaking colleagues
• Intermediate knowledge of popular OS like Windows 7/10/11, Linux (Ubuntu)
• Knowledge of C#, SQL or Python is a plus

If you keen to explore further, please send your latest CV with your reason for leaving, expected salary by clicking the "Apply Now" to our HR dept. We regret only shortlisted candidates will be notified.

up to 4.2K

• Support start-up, contract maintenance and other service activities with emphasis on safety and protection.

• Perform routine preventive maintenance, logging, corrective maintenance works and to carry out warranty repairs.

• Participate in service and repair of gas detectors, safety activities, emergency response, breakdown calls and ad hoc projects.

• Manage all orders efficiently until fulfilment stage, by working closely with Service team. • Liaison with relevant parties such as customers, service supervisor, coordinators and logistic pertaining to queries, technical issues, status and deliveries.

• Ensure equipment turnaround and breakdown responses are achieved at optimal level of efficiency.

• To provide support to other service activities that may be assigned in the course of work • Effective communication of technical information to employees, customers and external parties in an accurate and concise manner in both a written and verbal media.

• To participate/take up Workplace Safety & Health responsibilities/ activities as per requested by the company.

If you are interested and meet the requirements, please apply with your resume to [email protected] or contact via Telegram @jocelynchan.

Jocelyn Chan | Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence Number: 99C4599
Personnel EA License: R1331820

Main Role and Responsibilities

• The candidate will be responsible for automating deployments of various infrastructure deployment elements using VMware vRealize Automation and Orchestration
• I need to understand infrastructure elements and deployment architecture.
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.
• The candidate should have a good understanding of interfacing applications with vRA / vRO APIs
• A strong programming background and the ability to consistently deliver successful outcomes on infrastructure automation solutions are essential for this role.

Skills:

• Hands-on project execution experience using Ansible, PowerShell and customization of workflows using Orchestration in VMware vRealize Suite environment.
• A good understanding of infrastructure elements, virtualization and sizing like CPU, RAM and Hard Disk usage.
• Candidate should be prepared to work extended hours specifically for giving hyper support after production release.

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state of the art solutions as part of Team Rapsodo.

This role requires a highly versatile skill set and you will have opportunities to contribute to all relevant domains. Your responsibilities will include development and enhancing of new and existing products.

Responsibilities:

• Hardware Design, document and develop optimized hardware- PCB Layout and Schematic Capture
• Testing, bug fixing, improving hardware performance
• Create schematic and PCB Library and Bill of Materials
• Preparing plans and documentation to support product through certification/approval
• Assisting on product issues both during production and in-service

Requirements:

• Bachelor's Degree in Electrical or Electronics Engineering preferred
• Minimum 5 years of experience in Hardware Design, Validation, & Optimization
• Proven Experience in High Speed Digital board design with experience in interfacing bus standards like DDR3/4/ LVDS/MIPI/PCIe etc.
• Analog Circuit Design & Simulation
• Experience in developing complex CPU and microcontroller-based system
• Experience in dealing with regulatory requirements such as FCC/CE
• Experience in Design Tools (Altium Designer, Pads logic and layout, Allegro or OrCAD, Microsoft Office package, JIRA, VHDL, Linux)
• Ability to work in a dynamic environment with good communication and interpersonal skills

• Different positions available

RESPONSIBILITIES:

• Develop and monitor project schedules as per completion dates simulated in contract.
• Prepare and update baseline programme, 6 months look ahead programme, 3months and 4 weeks rolling programme.
• Prepare monthly progress report with Progress S-curve.
• Coordinate with internal QS and engineers for site progress update and claims.
• Coordinate with client’s planner on programme and progress matters.
• Proficient in Primavera P6 and Microsoft Excel.
• Basic technical expertise and knowledge on Air Conditioning and Mechanical Ventilation works.

REQUIREMENTS:

• Degree in Engineering/Construction related disciplines or equivalent field from a recognized institution
• Knowledge of planning processes, tools etc.
• At least 3 Years of relevant experience in the construction and building industry. Preferably specializing in Engineering - Civil/Construction/Structural or equivalent.

OTHER INFORMATION:

• Salary: From $4,000-$5,000 / Negotiable (Salary will commensurate according to experience & qualifications).

HOW TO APPLY:

Simply submit your application with your updated Resume in MS Word Format to Ashwin Vivek Vinod (EA Personnel Reg. No.: R22111690) (BEP) by clicking the ‘Apply link’ or call your friendly Consultant, Ashwin Vivek Vinod, at 6590 9957 or 9178 0355 for a confidential discussion.

Please click APPLY NOW button to submit your application

Please indicate the below information in your resume:

• Current & Expected salary

• Reason(s) for leaving

• Availability to commence work

We regret only short listed candidate will be notified. All applications will be treated with the strictest confidence.

YOUR SUCCESS IS OUR ACHIEVEMENT!

Notice:

We regret that only short-listed candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read & agreed to the terms of our Privacy Policy and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration, and for our marketing EDMs which you may opt-out by unsubscribing in the mailer. You may refer to and access our website at www.achievegroup.asia/privacy-policy/ for more information.

Cessation of Collection of full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

Your Role

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by CLIENT’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops process and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking