249 Machine Learning Engineer jobs in Kuala Lumpur

Overview

Machine Learning Engineer at HCLTech, Kuala Lumpur, Malaysia. This role focuses on technical engineering services for digital projects, cloud initiatives, cloud migrations, system expansions, refits, and cloud integrations with new and existing systems.

• Design, present, develop, and implement end-user or enterprise cloud services of significant complexity according to customer requirements, global standards, and security standards.
• Provide consultancy for internal and client teams; act as a key person for projects and initiatives (e.g., enabling new cloud services (AWS & Azure), service improvement, operations excellence).
• Collaborate daily with global team members and other IT teams to implement new capabilities.
• Implement and maintain high-quality documentation.

• Familiarity with Infrastructure as Code implementation is a plus.
• Certification in Agile methodologies (preferably Scrum) is a plus.
• Understanding of CI/CD is a plus.
• Expertise in Microservice Architecture.
• Valid Certification in AWS and/or Azure.
• Expertise managing AWS IAM and Azure SPN.
• Expertise in System design and Cloud Automation.
• Experience in system operation, application support or consulting with a focus on system/application server support & administration.
• Experience with Linux system administration and troubleshooting of system or network issues.
• Experience with AWS, Azure and OpenShift administration.
• Experience with Terraform Enterprise is a plus.
• English environment is mandatory; technical writing is an advantage.
• Experience with enterprise systems monitoring; knowledge of Prometheus, Zabbix, or Nagios is a plus.
• Experience with automation tools (Ansible or similar like Puppet or Chef).
• Nice to have: Kubernetes or Docker-based containers.

Mid-Senior level

Full-time

Employement type:
Permanent

Location:
Bangsar South

Industry:
Banking/ Insurance

• Design and develop frameworks for machine learning systems.
• Research and implement machine learning algorithms and tools.
• Develop machine learning applications in alignment with project requirements and business goals.
• Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
• Select appropriate datasets and data representation methods.
• Extend existing machine learning libraries and frameworks.
• Train systems and retrain as necessary.
• Work with the engineering and leadership teams on the functional design, process design, testing, and training of AI/ML solutions.
• Advise leaders on technology, strategy, and policy issues related to AI/ML.
• Guide and mentor other ML Engineers to boost team productivity.

Requirements

• At least 5+ years of experience applying AI to practical uses
• Over 5 years of Python programming experience
• Experience with Llama, TensorFlow, NLP, and relevant deep-learning models
• Experience writing robust code in Python and/or Java
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience is the design and development of Knowledge Graphs and Graph Databases such as Neo4j, MemGraph, etc.
• Knowledge of machine learning frameworks such as Keras and PyTorch
• Knowledge of math, probability, statistics, and algorithms
• Knowledge of algorithms and object-oriented and functional design principles
• Knowledge of data structures, data modeling, and software architecture
• Excellent communication skills
• Strong analytical and problem-solving skills

We are seeking a Machine Learning Engineer to design, finetune and implement AI models that power compliance intelligence for financial institutions. You will work with product managers, compliance experts, and engineers to build scalable ML pipelines for document analysis, regulatory updates, natural language Q&A, and risk scoring. This is a hands-on role where your work will directly impact how compliance officers, senior management, and staff manage their regulatory obligations.

• Model Development

• Design, train, and deploy ML models for NLP, semantic search, information extraction, document classification, and risk scoring.

• Develop solutions for OCR and structured data extraction from regulatory texts and compliance documents.

• AI-Powered Compliance Assistance

• Build and optimize LLM-powered Q&A systems to provide accurate, context-aware regulatory guidance.

• Integrate RAG pipelines with regulatory datasets.

• Data Engineering & Pipelines

• Develop data ingestion and preprocessing pipelines for regulatory documents, customer policies, and compliance workflows.

• Implement scalable APIs and ML services within the architecture.

• Collaboration

• Work closely with product and compliance teams to translate regulatory requirements into ML features.

• Partner with software engineers to integrate models into production systems.

• Optimization & Monitoring

• Monitor model performance, retrain and fine-tune as needed.

• Ensure explainability, transparency, and responsible AI practices in compliance-sensitive use cases.

• Education/Experience: Bachelor's or Master's in Computer Science, Machine Learning, AI, or related field; 3+ years of experience in applied ML/AI engineering.

• Technical Skills:

• Strong in Python, ML frameworks (TensorFlow, PyTorch, LangChain).

• Experience with NLP (transformers, embeddings, semantic search, information extraction).
• Familiarity with OCR, entity recognition, and knowledge graph construction a plus.
• Experience with building RAG pipelines, LLM fine-tuning, or prompt engineering.
• Solid knowledge of APIs, cloud deployment (Azure/AWS/GCP), and MLOps practices.

• Nice-to-Have:

• Experience working with financial regulations, compliance, or RegTech datasets.

• Exposure to secure, enterprise SaaS environments.
• Mindset: Problem-solver, detail-oriented, collaborative, and excited to work in a high-growth startup environment.

• A chance to build next-generation RegTech AI used by financial institutions globally.
• Opportunity to work directly with compliance experts and senior product leaders.
• Competitive salary with potential equity/ESOP participation.
• Flexible hybrid working environment.

Cambridge Advisers is an award-winning professional service firm headquartered in Singapore, with service coverage across Asia Pacific (APAC). Our mission is to serve the corporate and compliance needs of our customers in APAC, and we aspire to be the region's leading advisory firm with our best-in-class expertise with a customer-centric approach.  Our company has also been awarded the Top 10 Corporate Business Service Providers in Singapore 2023 by Asia Business Outlook, and the prestigious Singapore Business Review Technology Excellence Award 2023.

Note: This position shall primarily be based in Malaysia.

Asgard Resources Sdn. Bhd. is hiring a Full time Machine Learning Engineer role in Bangsar Selatan, Wilayah Persekutuan Kuala Lumpur. Apply now to be part of our team.

Job summary:

• Looking for candidates available to work:
• Monday: Morning, Evening, Afternoon
• Tuesday: Morning, Evening, Afternoon
• Wednesday: Morning, Evening, Afternoon
• Thursday: Morning, Evening, Afternoon
• Friday: Morning, Evening, Afternoon

• Experience: E
  xperience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.
• Technical Expertise:
  Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).
• GPU Expertise:
  Hands-on experience with GPU computing and optimization for AI workloads.
• Programming Skills:
  Proficiency in programming languages such as Python, Golang
• Problem-Solving:
  Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication:
  Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment.
• Must possess at least 4-8 years' experience in IBM iSeries, RPG/400, CL and IBM AS400
• Good analytical and problem-solving skills
• Experience in Agile project delivery and DEVOPS tools.
• Ability to prioritize and work on multiple tasks/ projects.
• Possess self-initiative and work with minimal supervision

We are seeking a highly motivated individual, the best of the bests talent to join our team as a Machine Learning Engineer (Artificial Intelligence). We welcome new graduates as well as experienced professionals who have the passion, curiosity, ability, and determination to be the best ML or AI engineer.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms for complex and unique datasets, using various techniques such as mathematical modeling, scikit-learn, NLP, CNN, RNN, DL, RL, Video Transformers, GAN, LLM, SLM, RAG, prompt engineering, GPT, AI Agent, Foundation Models, GPT, MCP, VLM, and VLA
• Collaborate with cross-functional teams to extract insights, identify business opportunities and provide data-driven recommendations
• Stay up-to-date with the latest machine learning and AI techniques and tools
• Communicate complex technical concepts to non-technical stakeholders in an easy-to-understand manner
• Responsible for dataset curation, data collection, ground truth annotation, quality control audit and human-in-the-loop validation

Requirements:

• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Actuarial Science, Informatics, Information Science or related fields
• Strong analytical skills and attention to detail
• Participation in Kaggle, Mathematics Olympiad or similar competitions is a plus
• Active involvement in public code repository is a plus
• Excellent programming skills in Python, R, Java, or C++
• Familiar with ML frameworks such as Tensorflow, Keras, PyTorch, MLFlow, AutoML, TensorRT, CUDA, HuggingFace, LangChain, LlamaIndex, LoRa/QLoRa
• Excellent communication and collaboration skills
• Experience with designing, training, and deploying machine learning models
• Customer centric and committed to deliver the best AI results to customers

As a Machine Learning Engineer, you will receive guidance from experienced senior AI specialists and have opportunities for professional growth and advancement within the company. We also encourage vibe coding and context engineering.

Possible future career paths after 2 years include Senior Machine Learning Engineer, AI Architect, AI Team Lead, Data Scientist, Data Architect, Data Lead, Research Engineer, Senior Research Engineer.

Please note that this position is only for the best of the bests, and we expect candidates to have a strong mathematical background, fundamental AI concepts and the grit to solve complex problems. If you believe you have what it takes to excel in this challenging position, apply now.

Fresh Graduates are also encouraged to apply

At Bjak, we're building AI systems that reach millions across Southeast Asia. Our Machine Learning team is pushing the frontier of image generation, personalization, and safe deployment of diffusion models. From powering creative assets to enabling user-facing visual tools, we make diffusion models fast, scalable, and aligned with our product vision.

This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, and design to bring cutting-edge generative vision features to market.

We are scaling generative vision capabilities that reshape how people experience financial and consumer products. As a Machine Learning Engineer (Diffusion / Vision), you'll fine-tune diffusion models, design evaluation frameworks, and deploy AI features into production. Your work ensures our image systems are creative, safe, and optimized for real-world impact.

• Fine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
• Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
• Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
• Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
• Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
• Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.

• Treat every challenge as your own, regardless of title.
• Enjoy switching between researcher, engineer, and product thinker.
• Prototype fast - test, iterate, and improve without waiting for perfect conditions.
• Stay calm and effective in startup chaos.
• Bias for speed - believe something valuable now beats perfect later.
• Learn fast from feedback and failure.
• Care deeply about both user experience and technical excellence.
• Show up with humility, hunger, and hustle.

• Strong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).
• Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.
• Proficiency with PyTorch (preferred).
• Experience in dataset preparation (captioning, tagging, filtering, augmentation).
• Knowledge of GPU optimization, latent diffusion, and efficient training techniques.
• Strong foundations in software engineering, algorithms, and clean code practices.

• Prior work in style transfer, personalization, or multimodal generation.
• Experience with safety alignment in generative vision (NSFW detection, adversarial testing).
• Open-source contributions in diffusion or generative vision projects.

• Competitive salary and performance-based bonuses
• Flexible work arrangement
• High-impact role with visibility across product, design, and engineering
• Flat structure - your work is seen, your ideas are heard
• Accelerated learning and growth in a mission-driven company
• Cross-border exposure to regional product development

We're a lean, high-performance team that moves fast and holds a high bar. Titles don't matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless execution. If you're hungry to grow and care deeply about excellence, this is your kind of environment.

BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

At Bjak, we're building AI systems that reach millions across Southeast Asia. Our Machine Learning team is at the forefront of text generation, captioning, moderation, and chat-like interactions, deploying LLMs into real-world products that must be fast, safe, and aligned with our brand voice.

This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.

We are scaling LLM capabilities that power how people interact with financial services. As a Machine Learning Engineer (LLM), you'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

• Fine-tune & Adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) for Bjak's applications.
• Engineer Prompts & Curate Data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate Models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & Monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & Deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

• Treat every problem as your own, regardless of scope or title.
• Enjoy switching hats - builder, debugger, architect, and product thinker when needed.
• Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.
• Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you.
• Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later.
• See feedback and failure as part of growth - you're here to level up.
• Believe "done" beats "perfect," but still care deeply about UX and code quality.
• Show up with humility, hunger, and hustle, and lift others up as you go.

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
• Proficiency with PyTorch (preferred) or TensorFlow.
• Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
• Familiar with evaluation metrics: perplexity, toxicity, relevance.
• Strong software engineering foundations in algorithms, data structures, and clean code practices.

• Prior work in text generation, moderation, or personalization.
• Experience with RLHF or reinforcement learning in LLMs.
• Contributions to open-source ML projects.

• Competitive salary and performance-based bonuses
• Flexibility in work arrangement
• High-impact role with visibility across product, data, and engineering
• Flat structure - your work is seen, your ideas are heard
• Fast learning curve and accelerated growth in a mission-driven company
• Cross-border exposure to regional product development

We're a lean, high-performance team that moves fast and holds a high bar. Titles don't matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, this is your kind of environment.

BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

About Us:

A leading global technology group, renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.

Job Description:

1. Oversee the full lifecycle of knowledge systems – design, develop, iteratively optimize, and maintain knowledge architectures to ensure accuracy, efficiency, and scalability in knowledge flow and application.
2. Build and maintain data mining platforms – take charge of platform development to guarantee stable operation; additionally, lead technical development and support for online campaigns, ensuring seamless execution and user experience.
3. Develop algorithms and train AI models – design and implement high-performance algorithms for data processing to streamline workflows; participate in AI model training, tuning, and optimization to enhance performance and alignment with business objectives.

Job Requirement:

• Solid Python/C++ development experience, familiar with multi-threaded programming, memory management, design patterns and Linux development environment, clear understanding and knowledge of Python/C++ syntax features, and good experience in high concurrent program development.
• Familiar with machine/deep learning theory and experience in training deep learning models.
• Familiar with the common algorithms in cv/nlp/recommnedation/sns is preferred.
• Familiar with crawler technology.
• Understanding of the internal implementation principles of Tensorflow/Pytorch is preferred.
• Experience in distributed system related projects, design capability and debugging ability of complex system software is preferred.
• Excellent communication skills in both English and Chinese (Mandarin) languages.