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AI/Machine Learning Engineer (12-Month Contract) (MNC, IT Services)
Skills
25 days ago
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Important information
Contract type:
Permanent
Salary:
MYR 120,000 – MYR 180,000 / year
Location:
Kuala Selangor, Selangor, Malaysia
Work mode:
Onsite
Published on:
29 September 2026
What they need
Core Responsibilities
- GenAI & Model Development: Design, build, and deploy production-grade AI/ML models, microservices, and APIs. A primary focus is implementing modern Generative AI, Agentic workflows, RAG pipelines, and prompt optimization.
- MLOps & Engineering: Build automated CI/CD pipelines for model deployment, versioning, automated testing, and lifecycle management aligned with enterprise standards.
- Data Integration: Construct robust data pipelines for model training and inference; connect AI solutions to enterprise databases, cloud services, and internal applications.
- Production Operations & Tuning: Maintain AI workload observability, monitor cost/performance/reliability, resolve production incidents, and continually fine-tune deployed models.
- Governance & Ethics: Ensure compliance with data privacy, enterprise security standards, and responsible AI practices (transparency, fairness, explainability, human-in-the-loop oversight).
- Cross-Functional Enablement: Partner with regional business units, architects, and data scientists to identify use cases, run design workshops, and drive AI adoption across regional subsidiaries.
Key Requirements & Qualifications
- Experience & Education: Bachelor’s degree in Computer Science, AI, Data Science, or a related field, alongside at least 8 years of professional experience in software engineering, AI, or ML. Must have a proven track record delivering enterprise-grade AI solutions.
- Programming & Core ML: Advanced Python proficiency with hands-on expertise in PyTorch, TensorFlow, or Scikit-Learn.
- Generative AI Stack: Deep familiarity with LLM/Agent frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel), vector databases, and RAG design.
- Cloud & DevOps: Hands-on experience with major cloud platforms (AWS, Azure, or GCP), container orchestration (Docker, Kubernetes), Git, CI/CD, and MLOps tooling.
- Data & Backend: Strong skills in SQL, data pipeline development, feature engineering, and REST/microservice API development.
For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:
Current Salary
Expected Salary
Availability
Reason for leaving
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NGUYEN THI DOAN | R23116355
RRecruiter Pte. Ltd. | 18C9514
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