AI Engineer

Mission Consultancy Services; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Mission Consultancy Services is seeking an experienced AI Engineer to design, build, and deploy machine learning and generative AI solutions that solve real business problems across the full AI/ML lifecycle.

The role focuses on building data pipelines, developing LLMs, deploying models to production, and ensuring reliability with strong collaboration across data engineers and scientists. Kuala Lumpur, on-site.

Qualifications

• 3–6 years of AI engineering or ML experience.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Experience deploying ML models into production.
• Experience with LLMs and Generative AI (OpenAI, LangChain, Hugging Face).
• Understanding of feature engineering and model evaluation.
• Familiarity with MLOps (MLflow, Docker, Kubernetes, CI/CD).
• Experience with AWS SageMaker, Azure ML, or Google Vertex AI is an advantage.
• Strong SQL skills.
• Strong statistics and ML knowledge.
• Excellent communication skills.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.

Responsibilities

• Design, develop, and deploy machine learning models and AI-driven solutions.
• Build and maintain data pipelines and feature engineering workflows.
• Develop, fine-tune, and integrate Large Language Models (LLMs).
• Collaborate with data engineers and data scientists.
• Deploy models into production environments (MLOps).
• Monitor deployed models for performance and reliability.
• Evaluate AI/ML APIs and frameworks.
• Translate business requirements into AI solutions.
• Conduct experiments and A/B testing.
• Document model architecture and data pipelines.
• Ensure responsible AI practices.
• Stay current with AI/ML technologies.

Skills

Python programming

ML fundamentals

LLMs & Generative AI

Data pipelines

A/B testing

Statistics

SQL

Communication

ML evaluation

Education

Bachelor's degree in CS/DS/Engineering

Tools

Docker

Kubernetes

CI/CD

MLflow

AWS SageMaker/Azure ML/Vertex AI

Job description

We are building our candidate database for an upcoming AI Engineer opportunity. We are looking for an experienced AI Engineer to design, build, and deploy machine learning and generative AI solutions that solve real business problems across the full AI/ML lifecycle.

JOB DESCRIPTION

• Design, develop, and deploy machine learning models and AI-driven solutions.
• Build and maintain data pipelines and feature engineering workflows.
• Develop, fine-tune, and integrate Large Language Models (LLMs).
• Collaborate with data engineers and data scientists.
• Deploy models into production environments (MLOps).
• Monitor deployed models for performance and reliability.
• Evaluate AI/ML APIs and frameworks.
• Translate business requirements into AI solutions.
• Conduct experiments and A/B testing.
• Document model architecture and data pipelines.
• Ensure responsible AI practices.
• Stay current with AI/ML technologies.

JOB REQUIREMENTS

• 3-6 years of AI engineering or machine learning experience.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Experience deploying ML models into production.
• Experience with LLMs and Generative AI (OpenAI, LangChain, Hugging Face).
• Understanding of feature engineering and model evaluation.
• Familiarity with MLOps (MLflow, Docker, Kubernetes, CI/CD).
• Experience with AWS SageMaker, Azure ML, or Google Vertex AI is an advantage.
• Strong SQL skills.
• Strong statistics and ML knowledge.
• Excellent communication skills.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.