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AI/Machine Learning Engineer (12-Month Contract) (MNC, IT Services)

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Onsite

AI/Machine Learning Engineer (12-Month Contract) (MNC, IT Services)

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AI/Machine Learning Engineer (12-Month Contract) (MNC, IT Services)

Skills

Google Cloud PlatformSQL QueriesDockerPythonData ScienceMicroservicesPyTorchTensorFlowMachine LearningAIAWSKubernetesComplianceAzure

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:

  1. Current Salary

  2. Expected Salary

  3. Availability

  4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514

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