Senior Data Scientist - Machine Learning Engineer
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
11 days
1,300+ Machine Technician Jobs in Malaysia | Job Vacancies | October 2026 | Maukerja - Page 12
Showing 1,351 jobs results for
"machine technician"
Data Scientist - Machine Learning Engineer
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
11 days
Mechanical Design Engineer (Machine Design)
- Drive the design of next-generation semiconductor automation equipment and modules, transforming ideas into functional designs and prototypes.
11 days
Software Engineering, Machine Learning
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
11 days
11 days
AI-ML Engineer (Agentic AI - Data Science)
- Design and develop AI agents using modern agent frameworks.
11 days
Lead Machine Learning Engineer
- You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
11 days
Electrical Wiring - PLC Engineer
- Design, develop, and programming PLC systems for industrial automation and control Machinery
11 days
AI-ML Engineer (Agentic AI - Data Science)
- Design and develop AI agents using modern agent frameworks.
11 days
LLM Evaluation Engineer
- Build and maintain automated LLM evaluation pipelines covering multiple dimensions, including general capabilities, Agent capabilities, and persona/role-playing capabilities. Support one-click evaluation, historical result comparison, and regression testing.
11 days
Applied AI Engineer
- Build and deliver AI features end-to-end, spanning model development, system integration, and the final user experience.
11 days
- Find and Mitigate Risks in AI Projects. Take an analytical approach to assess AI systems for potential risks and impacts and prevent harm to people, patients and society.
11 days
LLM Evaluation Engineer
- Build and maintain automated LLM evaluation pipelines covering multiple dimensions, including general capabilities, Agent capabilities, and persona/role-playing capabilities. Support one-click evaluation, historical result comparison, and regression testing.
11 days
Data Scientist - Machine Learning Engineer
11 days
- Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems
11 days
- Lead the exploration and application of emerging AI capabilities for Assurance use cases
11 days
AI Agent Engineer
- Shape the future with the world’s leading blockchain ecosystem
11 days
- Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance.
11 days
Machine Learning Engineer
- either in survey statistics (sampling, non-response adjustments, Bayesian statistics),
11 days
- Own the agentic-evaluation engine. Build the capability that scores agents on the metrics that matter - intent resolution, tool-selection and parameterisation accuracy, task adherence, planning quality, tool-call ordering, response completeness against a reference, and when an agent should defer to a human.
11 days
- Design and optimize a consumer-facing e-commerce Shopping Agent, covering intent understanding, task planning, query rewriting, product search/recommendation, tool calling, memory, and multi-turn dialogue.
11 days
11 days
Senior Machine Learning Engineer
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
11 days
Algorithm and AI Senior-Staff Engineer
- Architect, build and deploy LLM powered agent systems (chatbots, copilots, agents) that are safe, fast, and cost-efficient.
11 days
ML Engineer
- About the job We are seeking an experienced Machine Learning Engineer to join a fast-growing technology company, building and scaling machine learning capabilities across its products and platforms. This is an opportunity to work at the intersection of machine learning, software engineering, and cloud infrastructure, taking ML solutions from experimentation through to reliable, scalable production deployment. Responsibilities You will design, develop, and productionise machine learning models and services, working closely with data scientists, software engineers, and product teams to integrate ML capabilities into technology products. You will build and maintain MLOps infrastructure and automated ML pipelines covering model training, testing, deployment, monitoring, and retraining. You will establish CI/CD practices for machine learning, improve model reliability and performance, and develop scalable infrastructure to support models in production. You will also contribute to ML platform architecture, model serving, observability, and automation, ensuring machine learning systems are scalable, secure, and efficient. Requirements We are looking for an experienced Machine Learning Engineer with 6-10 years experience , strong software engineering fundamentals and hands-on experience deploying and operating machine learning models in production. Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar technologies are essential. You should have practical MLOps experience, including model deployment, CI/CD, model monitoring, experiment tracking, containerisation, and automated training and inference pipelines. Experience with Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP), and MLOps technologies such as MLflow, Kubeflow, or equivalent tools will be highly relevant. Experience building scalable APIs, model serving infrastructure, and production ML platforms would also be advantageous. To apply Interested candidates, please send your resume to Eliza Ng at en@kerryconsulting.com, quoting the job title. Due to the high volume of applications, only shortlisted candidates will be notified. L/N 16S8060R/N R1549515
11 days
Machine Learning Engineer
- Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
11 days
Senior AI Engineer
- Design and develop autonomous AI agents and multi-agent systems with reasoning, planning, tool use and memory.
11 days
- RCB No. 200007268E • EA License No. 01C4394
11 days
BCG U - Senior AI Engineer
- Work with BCG U's product and knowledge leadership to refine and validate the technical architecture for AI skilling solutions — challenging assumptions, identifying gaps and ensuring the design is sound before build begins
11 days
Senior Applied AI Engineer
- Own complex or cross-domain initiatives, turning ambiguous business needs into reliable production outcomes.
11 days