Total 293 network engineer job vacancies in Maintenance / Repair category in Singapore

About the Role

Our client is seeking a Data Scientist / Machine Learning Engineer to support the development, deployment, and optimization of machine learning solutions that enable data-driven decision-making. The successful candidate will work closely with business stakeholders, data engineers, and technical teams to transform complex datasets into actionable insights and predictive models.

Key Responsibilities

• Analyze large and diverse datasets to identify trends, patterns, and business insights.
• Develop, train, validate, and optimize machine learning models for predictive and classification use cases.
• Perform data preparation, feature engineering, and model evaluation activities.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Design and conduct experiments, hypothesis testing, and statistical analyses to support business objectives.
• Work closely with data engineering teams to prepare and optimize datasets for modelling and analytics.
• Develop data visualizations and dashboards to communicate findings and recommendations effectively.
• Monitor and maintain machine learning models in production environments to ensure performance and accuracy.
• Contribute to the continuous improvement of data science and machine learning best practices.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline.
• Minimum 3 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models in production environments.
• Good understanding of statistics, predictive analytics, machine learning algorithms, and model validation techniques.
• Experience with data visualization tools such as Power BI, Tableau, or equivalent.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Spark, Databricks, Airflow, Azure Data Factory, AWS Glue, or similar data platforms.
• Familiarity with MLOps practices, CI/CD pipelines, Docker, or Kubernetes.
• Exposure to Generative AI, Large Language Models (LLMs), or AI foundation models will be advantageous.
• Experience working with large-scale datasets and distributed computing environments.

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

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

We regret that only shortlisted candidates will be notified.

Job Title: CNC Maintenance Technician / Engineer (ID4686)
Location: Boon Lay
Working Hours:Monday to Friday: 9:00 AM – 7:00 PM, Saturday: 9:00 AM – 5:00 PM
(Work on 3 Saturdays per month, off on 1 Saturday)
Salary : $3000-$4000

CNC Maintenance Technician / Engineer
Key Responsibilities:
• Perform regular maintenance and inspection of CNC machines (lathe, milling, etc.)
• Troubleshoot mechanical, electrical, and control issues in CNC equipment
• Replace or repair defective components, such as servo motors, ball screws, spindles, etc.
• Maintain and calibrate CNC machines to ensure machining precision
• Work closely with the production and engineering team to ensure machine uptime
• Maintain accurate records of maintenance activities
• Comply with safety standards and company policies at all times

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

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

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

RF Maintenance Engineer (4G/LTE) (Telco/ East/ Permanent Role)

• Location: East Area
• 5 Days work week
• Permanent Role
• Salary: up to $4,000 + Variable Bonus

Responsibility:

• Lead end-to-end 4G site rollout, including site surveys, design, testing, commissioning, and optimization.
• Plan, manage, and monitor engineering activities to ensure timely project completion.
• Conduct preventive and corrective maintenance for base stations and antenna systems.
• Address customer issues through troubleshooting and effective solution proposals.
• Coordinate dismantling and reinstatement works with HDB, property owners, contractors, and local authorities.
• Provide after-hours standby support during major events, both on-site and remotely.
• Act as the technical lead for projects, ensuring adherence to delivery timelines, standards, milestones, and documentation.
• Manage in-building system design, documentation (technical and commercial), scheduling, and equipment procurement.
• Review, negotiate, and track contractor and supplier quotations and delivery timelines.
• Support design and costing for TETRA, LTE, and other company services.
• Monitor and optimize 4G network performance, including participation in technical trials.
• Prepare technical reports and presentations, and manage spare parts and inventory.
• Demonstrate strong teamwork, ownership, interpersonal skills, and flexibility to work extended hours when needed.

Requirement:

• Min Diploma / Degree in Telecommunications, Electronics or related.
• Minimum 2 years of LTE mobile network maintenance experience.
• Basic experience in project management is preferred.
• Solid understanding of 4G radio access technologies, RF principles, and antenna systems.
• Proficient in Microsoft Office applications (Excel, PowerPoint, Word, etc.).
• Comfortable working in diverse environments such as rooftops, tunnels, offshore sites, construction areas, and other physically demanding conditions.
• A valid Class 3 driving license is required.

How to apply

Interested candidates who wish to apply for the post, you may click the Apply Now Button or send in your updated resume (in MS Word format) to jackyooi@careerally.com.sg

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

Careerally Pte Ltd | EA Licence: 24C2215

Ooi Chuan Yi (Jacky)| EA Registration No: R24122948

Description:

• Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
• Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
• Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation
• Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
• Maintain deep engagement with the global Edge AI research community to ensure the NDK roadmap reflects the state of the art in model efficiency, compression, and on-device learning

Key Responsibilities:

• Collaborate with the Sr. Design Manager (AI Architect) to define and maintain the NDK toolchain feature roadmap, ensuring alignment with the NPU hardware roadmap and overall AI product strategy
• Research, evaluate, and recommend quantization algorithms, pruning strategies, knowledge distillation techniques, and other model compression methodologies suited to constrained hardware targets
• Assemble and lead focused task forces drawing on partial bandwidth from the Software (Edge AI) and IC Design teams to prototype, benchmark, and validate proposed toolchain concepts before broader commitment
• Prototype and benchmark candidate ML algorithms and toolchain features to quantitatively demonstrate accuracy-performance trade-offs and justify roadmap prioritization

• Translate hardware architectural capabilities and constraints (as defined by the NPU Architect) into concrete toolchain feature requirements and algorithmic optimization opportunities
• Deliver comprehensive technical specifications and algorithmic documentation to the Software (Edge AI) team to enable confident and accurate implementation of NDK features
• Collaborate closely with the Software (Edge AI) team throughout the implementation phase to resolve algorithmic questions, validate correctness of implementations, and ensure performance targets are met
• Actively monitor and synthesize developments from the Edge AI research community — including publications, open-source frameworks, and industry benchmarks — to continuously inform and refresh the NDK roadmap
• Partner with the Software (Edge AI) team to jointly identify ML toolchain methodology improvement opportunities and drive those that originate from the AI Architecture team; provide expert advisory support for methodology improvements initiated by the Software team
• Evaluate and apply a range of productivity tools and techniques — including but not limited to AI-assisted methods — to accelerate algorithmic prototyping, benchmarking, and specification productivity
• Evaluate and integrate relevant open-source ML frameworks, runtimes, and toolchain components (e.g., MLIR, TVM, ONNX Runtime) as acceleration vectors for NDK development

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical field; PhD preferred, particularly in machine learning, optimization, or computer architecture
• 8+ years of experience in applied machine learning engineering or Edge AI software, with at least 5 years focused on model optimization, ML compilers, or on-device inference toolchain development
• Proven expertise in quantization (PTQ, QAT), pruning, knowledge distillation, and other model compression techniques with demonstrated results on resource-constrained hardware
• Strong knowledge of AI/ML algorithms, neural network architectures (CNNs, RNNs, Transformers, etc.), and the trade-offs between model accuracy, computational complexity, and memory footprint
• Demonstrated ability to stay at the forefront of the Edge AI research community, with a track record of translating academic and industry advances into practical product roadmap contributions
• Hands-on experience with mainstream ML frameworks (PyTorch, TensorFlow/Lite) and familiarity with ML compiler stacks such as MLIR, TVM, or ONNX Runtime
• Experience consuming hardware architectural specifications and translating them into software toolchain requirements and algorithmic optimizations
• Excellent communication skills with ability to present complex research findings and toolchain proposals clearly to architecture, software, and executive audiences
• Strong analytical and problem-solving abilities with emphasis on quantitative benchmarking, accuracy-efficiency trade-off analysis, and performance profiling on target hardware
• Demonstratedability to work collaboratively across team boundaries, including assembling and coordinating cross-functional task forces without direct authority
• Familiarity with RISC-V ISA and its software ecosystem, particularly in the context of AI inference deployment
• Experience with FPGA-based or simulator-based prototyping to validate algorithmic concepts against pre-silicon hardware models (preferred but not required)
• Self-motivated with ability to work independently, lead applied research initiatives, and drive toolchain innovation from algorithmic exploration through specification and successful team handoff

JOB DESCRIPTION

To support the Maintenance-By-the-Hour (MBHTM) program in the function of repair management (RM). With the partnership and engagement of our vast network of vendors and Original Equipment Manufacturers (OEM), we ensure the repairs of our customer’s and MBHTM assets are achieved in a timely and cost-efficient manner to fulfill the demands of the MBHTM supply chain. To manage the large quantity of components concurrently undergoing repair within our network of vendors and OEMs. As every component undergo different repair procedures for defect rectification, it is important to understand the characteristics of the individual components and the purpose for each procedure carried out by the vendor/OEM to identify opportunities for cost reduction and evaluate the quality of the repair.

MINIMUM REQUIREMENT

Education & Experience

• Degree in Engineering (Aerospace/Electrical/Mechanical)
• Some knowledge in Maintenance, Repair and Operations (MRO) of aircraft components, airworthiness requirements and relevant Airbus and Boeing policies relating to aircraft component repairs would be good, but not compulsory.

Specific Skills (Knowledge, skills and abilities)

• Knowledge in Microsoft Office
• Strong analytical skills with methodical approach to identify requirements and opportunities in executing various Repair Management (RM) process
• Effective communication skill to communicate and negotiate with various parties to fulfill Key Performance Indicators (KPI)
• Abilities to prioritize workload and manage RM operations across multiple MBH contracts

Oversee preventive and corrective maintenance on machinery, equipment, and facility systems to ensure smooth operations.

Supervise troubleshooting of mechanical and electrical issues and carry out repairs in a timely manner to minimize downtime.

Conduct routine inspections and maintenance checks on production equipment and tools.

Assist in equipment installation, testing, and maintenance documentation as required.

Follow workplace safety procedures and maintain proper housekeeping standards within the work area.

Field Service Engineer

• Working days: Monday - Friday 830am to 530pm
• Location : Ang Mo Kio Techplace
• Salary: $3,800 - $4,200

Job Responsibilities

• Install, test and commission new equipment at customers’ sites
• Carry out equipment assembly, servicing, trouble-shooting, repair, upgrade and preventive maintenance
• Perform other technical tasks as assigned
• Provide and maintain good customer service to customers

Job Requirements

• Nitec/Higher Nitec in Mechatronics/Mechanical Engineering or Diploma in Mechanical/Electrical Engineering
• At least 2 years’ hands-on experience in equipment servicing and repair
• Able to work after office hours when required
• Able to travel overseas when required