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

Private Advertiser; Selangor; On-site; MYR 180,000 - 300,000; Full time

Job summary

Private Advertiser in Malaysia (Selangor) seeks a senior AI/ML engineer to design, build, and deploy production-grade AI/ML models, microservices, and APIs, focusing on Generative AI, agentic workflows, and RAG pipelines.

You will implement MLOps pipelines, versioning, testing, and lifecycle management aligned with enterprise standards, and connect AI solutions to enterprise data sources and cloud services.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, or a related field, with at least 8 years of professional experience in software engineering, AI, or ML.
• Proven track record delivering enterprise-grade AI solutions.

Responsibilities

• Design, build, and deploy production-grade AI/ML models, microservices, and APIs.
• Implement MLOps pipelines: CI/CD, versioning, automated testing, lifecycle management.

Skills

Python

Machine learning

PyTorch

TensorFlow

Scikit-Learn

MLOps

Cloud platforms

Education

Bachelor's degree in Computer Science / AI / Data Science

Tools

Docker

Kubernetes

Git

CI/CD

LangChain

LangGraph

AutoGen

Semantic Kernel

Vector databases

Job description

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.