Total 367 technical engineer job vacancies in Maintenance / Repair category

As a Founding Engineer at RedOptima's Bangalore hub, you will step into a highly dynamic, entrepreneurial role where you must be ready to wear many hats and adapt to the evolving needs of the business. From architecting robust data pipelines and deploying advanced machine learning models to troubleshooting unforeseen system issues, you will navigate ambiguity to tackle whatever challenges arise.

We are looking for a true builder and a strategic problem solver to take on this challenge. You should have a deep foundation in both software architecture and applied machine learning, thriving in innovative and high-autonomy environments where you make critical technical decisions. You are as comfortable discussing statistical probability models as you are architecting scalable Python applications. 

RedOptima takes data from diverse data sources, transforming unstructured data into structured formats through physical analysis, statistical analysis, and ML modeling. This structured data is then used in further modelling and analytics. This creates a layer architecture that must be designed so that risk factors can be explained back to the underlying data.

In this highly impactful role, your core mission is to design, build, and maintain the systems that power our market-leading collision risk analytics. Operating at the intersection of architecture and data science, you will own the entire lifecycle of our ML solutions from early prototypes to production deployments. You will maximize the insight extracted from massive geospatial datasets and proactively mitigate technical risks as we scale, ultimately building mission-critical infrastructure that directly influences global road safety.

Your team:
You will be the cornerstone in a small but highly dedicated team of engineers. As a Founding Engineer, you will not only build systems but also help define our engineering culture, providing technical mentorship to developers and partnering with stakeholders to steer the product roadmap.

You will coordinate with a global team mostly based in London. Co-located at RedOptima Bangalore Hub is BlueOptima, our sister company, which we use to provide support and chances to upskill on technologies. This ensures we have support and a wider team. 

Responsibilities include:
Engineering & Architecture:

• Own the entire lifecycle of engineering and machine learning solutions, from prototype to deployment, either on native Kubernetes or AWS.
• Architect, build, and maintain highly optimized, robust, and scalable systems.
• Design systems and processes to ensure that the highest data quality is met by our production solution. 
• Proactively identify future technical risks, creating clear plans to navigate these.

Data Science & Machine Learning:

• Discover novel opportunities to extract actionable insights and automate workflows using diverse data sources.
• Champion a data-driven approach to validate assumptions, track progress, and performance metrics on implemented changes.
• Apply deep expertise in statistics and ML to validate and extract insights from the raw data before transforming it into actionable metrics.

Product & Technical Leadership:

• Provide hands-on leadership to developers, instilling best practices in system design, code quality, and solution ownership.
• Act as the technical bridge, effectively translating complex ML and engineering concepts to clients, client-facing teams, and non-experts.
• Drive product strategy, acting as the filter for new ideas and analyzing client problems to determine their value.
• Embrace the dynamic nature of a fast-evolving, agile business by wearing multiple hats, demonstrating flexibility, and stepping in to tackle unforeseen engineering challenges as the business evolves.
   

Do you live and breathe bicycles? Do you get a dopamine hit from a perfectly indexed derailleur or a silent, buttery-smooth hub?

At JanjiRide.SG, we don’t just fix bikes; we fuel the passion of the local cycling community. We are a boutique shop for high-end builds (Ibis, Polygon, and more), and we believe that the workshop is the heart of the store.

We are looking for a Technical Lead who wants more than just a 9-to-6. We want someone who wants to walk into work and have the best day, every day, surrounded by high-end gear and a community that appreciates your craft.

The JanjiRide Vibe:

• A "Fun-First" Culture: We work hard, but we keep the music up and the vibes high. We’re riders too, so we understand the stoke!

• Quality Over Chaos: We don't believe in "rushing and crashing." We believe in a focused, clean, and professional environment where you have the space to do your best work.

• Cool Tech: You’ll be working on the latest SRAM AXS, Shimano Di2, and dream-build Ibis frames. No boring days here!

What You’ll Be Doing:

• The Master of the Stand: Taking ownership of our "Major Service" packages and custom builds.

• The Problem Solver: Diagnosing tricky tech issues and giving bikes a new lease on life.

• The Tech Expert: Leading our workshop standards and ensuring every bike that leaves the shop is "JanjiRide Certified."

• Growing the Community: Chatting with our regulars and helping them understand how to keep their rides running perfectly.

What We’re Looking For:

• The Passion: You genuinely love bikes and stay up to date with the latest industry tech.

• The Precision: You’re the type of person who notices a loose bolt from across the room. You care about the "finishing touches."

• The Vibe: You’re positive, proactive, and bring good energy to the team.

• The Experience: You’ve spent 2–3 years in a workshop and are ready to step up into a leadership role.

The Perks:

Salary: $2,400 – $3,200 (Base)—we pay for talent.

Incentives: Performance bonuses for high-quality work and efficiency. (Get rewarded for your skill!)

Your Mondays Back: Fixed Monday Off every week. No more "Sunday Scaries."

Staff Discounts: Get the gear you love at the best prices.

Ownership: This isn't just a job; it’s your workshop. You help us shape the future of JanjiRide.

Ready to have the best day every day?

If you have the skills and the stoke, we want to meet you.

JanjiRide.SG – Your Ride, Our Promise.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer (Principal Engineer).

Our mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models and AI agents. You will collaborate with Data Scientists, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities include, but not limited to:

• Architect and execute large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.

• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).

• Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.

• Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.

• Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to maximize hardware utilization.

• Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.

• Design and optimize data structures in data management systems (Snowflake, and Google Cloud platforms) to enable AI/ML and Agentic solutions.

• Create/Maintain CI/CD pipelines of machine learning and AI Agent solutions in the cloud.

Education Qualifications:

• Technical Degree required. Computer Science or Statistics background highly desired.

Minimum Qualifications:

• Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on-prem.

• Hands-on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.

• Proficiency in fine-tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT-LLM).

• Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.

• Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning.

• Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models.

• Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit-learn, etc.).

• Software development skills and the desire to work on cutting edge development in a Cloud environment.

• Strong scripting and programming skills in one of the following, Python or Java (Python preferred).

• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).

• 9+ years building scalable ETL pipelines.

• 9+ years of experience with big data processing and/or developing applications and data sources.

• Outstanding analytical thinking, interpersonal, oral and written communication skills.

• Ability to prioritize and meet critical project timelines in a fast-paced environment.

Preferred:

• Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).

• Knowledge of lower-level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).

• Experience with Multi-Agent Systems and orchestrating collaboration between specialized agents.

• Deep knowledge of math, probability, statistics and algorithms.

• Demonstrated ability to study and transform data science prototypes into production solutions.

• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.
  

  In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments.

Machinery Service Engineer (Semiconductor Company)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $3000 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

The company is a well-established global leader providing advanced production systems and technical services in the printed circuit board and semiconductor industry. The company uses cutting-edge Japanese technology and offers strong opportunities for learning and career growth.

Responsibility

• Install, configure, and maintain production machinery at local and regional sites.
• Diagnose and resolve equipment issues to ensure optimal performance and minimize downtime.
• Manage spare parts inventory to support timely and effective maintenance activities.
• Travel domestically and internationally for project assignments, training, and technical support.
• Collaborate with clients and internal teams to troubleshoot and resolve technical challenges efficiently.
• Maintain accurate documentation of service activities and provide regular updates to stakeholders.
• Comply with all safety regulations, workplace procedures, and environmental protocols to ensure a safe working environment.

Requirements

• Diploma or equivalent in Electronics/Electrical/Microelectronics Engineering or related fields
• Frequent overseas travel for training and service assignments may be required; candidates with flexibility to travel will be viewed favorably.
• Candidate who can start immediately or within short notice will be preferred

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

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701
Registration: R1326740

• Well Established Company
• Basic $2800 - $4000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression\
• Working location: Gul Circle (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8.15am to 5.15pm

Job Responsibilities:

• Responsible for outdoor and indoor repair work of all cleaning products
• Mechanical preventive maintenance - verify mechanical faults, replacement of spare parts and repair
• Work closely with service technicians for problem solving and coordinating jobs between field service and workshop repairs
• Required to work within the Company workshop where there is no outdoor repair
• Any ad hoc duties as assigned

Job Requirements:

• Possess at least a Professional Certificate/ Nitec in any Electrical & Electronic or Mechatronics Engineering or relevant qualification
• Experience in repair of forklifts, automobiles, heavy industrial equipment, and knowledge in engines, motors and electrical would be relevant and useful
• Possess Class 3 driving license is an advantage

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

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)

To help us scale the AI systems behind that intelligence, we're looking for a Senior MLOps Engineer to join our AICV Platform team in Sydney.

This is a genuine opportunity to own greenfield platform work at serious scale. Nearmap is one of the top three AWS users in the APAC region. The systems you'll build aren't theoretical — they're processing aerial imagery across Australia, the US, and Canada, and serving AI models to real customers at high concurrency.

You'll sit between traditional DevOps and the new world of AI engineering — which means this role suits someone with a strong back-end and platform engineering foundation who is ready to grow their career into AI, or who is already making that transition. AI experience is a bonus, not a barrier to entry — we can coach that side as a team.