118 Machine Learning 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

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a Machine Learning Scientist role at MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

We are looking for a Machine Learning Scientist to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What happens after you submit your application:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment — Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork , customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

• Entry level

• Full-time

• Other

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

Responsibilities:

• Work with the data science team to research, develop, evaluate and optimize various models using different machine learning algorithms for problem solving or process optimization.
• Execute projects involving machine learning algorithm for computer vision applications such as neural networks, clustering, segmentation, object detection, tracking.
• Run code refactoring and optimization, containerization, deployment, versioning and monitoring of its quality.
• Design and implement cloud solution and CICD pipelines, build MLOps on cloud.
• Design the self-running web / mobile applications and software that makes use of that data and automates predictive models.

Requirements:

• BSc. or MSc. or Ph.D. in Mathematics, Computer Science, Data Science, Machine Learning, Artificial Intelligence or related fields provided they have a strong technical knowledge and experience in machine learning.
• Proficient in machine learning framework such as scikit-learn, pandas, TensorFlow or Keras.
• Proficient in programming and scripting skills (Python, JavaScript, R).
• Experience in Front-end (React) / Back-end Frameworks ) is a plus.
• Experience in design and implement Azure cloud-based solution and services.
• Excellent interpersonal skills, team player, resourceful and has strong analytical skills.
• Good communication and written in English.

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.