AI Engineer

Michael Page; Malaysia; On-site; MYR 150,000 - 200,000; Full time

Job summary

A large organization in the industrial/manufacturing sector is looking for an AI Engineer. This role involves designing, training, and deploying AI/ML models using advanced tools and techniques. The ideal candidate should have a degree in a relevant field, proficiency in Python and SQL, and a proven ability to build end-to-end AI systems. Benefits include medical coverage and exposure to innovative technology projects. If you are passionate about AI and eager to make an impact, this opportunity is for you.

Benefits

Medical Benefits

Exposure to cutting-edge technology projects

Qualifications

• Strong foundations in machine learning, deep learning, and data analysis.
• Hands-on experience with LLMs and Generative AI.
• Proven ability to build and deploy end-to-end AI systems.

Responsibilities

• Design, train, and deploy AI models including LLM fine-tuning.
• Develop modular Python-based AI services using FastAPI/Flask.
• Build end-to-end ML pipelines for model training and deployment.

Skills

Python for AI/ML development

Machine learning

Deep learning

SQL

PostgreSQL

Education

Degree in Computer Science, AI, or Data Science

Tools

Pandas

NumPy

Scikit‑learn

XGBoost

PyTorch

TensorFlow

Job description

Overview

• Opportunity to work in international cross-functional teams
• Gain hands-on experience with cutting edge technology

About Our Client

This opportunity is with a large organization in the industrial/manufacturing sector that is committed to leveraging cutting-edge technology to improve its processes and products. The company is known for its forward-thinking approach and dedication to excellence.

Job Description

• Design, train, and deploy AI/ML and Generative AI models, including LLM fine‑tuning, embeddings, RAG pipelines, and intelligent automation systems.
• Develop modular Python-based AI services using FastAPI/Flask, scalable architectures, and production best practices.
• Build end‑to‑end ML pipelines: data ingestion, feature engineering, model training, hyperparameter tuning, evaluation, and deployment.
• Write high-performance SQL and manage robust PostgreSQL environments with optimized schemas, indexing, and stored procedures.
• Build ETL/ELT data pipelines supporting model training and real-time inference.
• Integrate models with cloud services (Azure/OpenAI, Azure ML, GCP Vertex AI, AWS Bedrock), APIs, and microservices.
• Implement MLOps practices: model registries, monitoring, automated retraining, CI/CD for ML workflows.
• Collaborate with product and engineering teams to transform business objectives into AI-driven technical solutions.

The Successful Applicant

A successful AI Engineer should have:

• A degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with strong foundations in machine learning, deep learning, and data analysis.
• Advanced proficiency in Python for AI/ML development, including Pandas, NumPy, Scikit‑learn, XGBoost, and experience with major deep learning frameworks such as PyTorch or TensorFlow.
• Hands‑on experience with LLMs and Generative AI, leveraging OpenAI‑compatible providers (OpenAI, Azure OpenAI, etc.), including embeddings, RAG architectures, and prompt engineering.
• Strong command of SQL and relational databases, especially PostgreSQL, with skills in performance tuning, indexing strategies, query optimization, and PL/pgSQL.
• Proven ability to build and deploy end‑to‑end AI systems and microservices, including ML pipelines, FastAPI/Flask services, and cloud-based deployments across Azure, GCP, or AWS, with CI/CD and MLOps best practices.

What's on Offer

• Contract: 1 year (extendable)
• Medical Benefits
• Exposure to cutting-edge technology projects.
• Opportunity to work with a large organization in the industrial/manufacturing industry.

If you are passionate about AI and looking to make an impact in the technology department, we encourage you to apply.