AI Engineer

VIVADATA; Kuala Lumpur; On-site; MYR 120,000 - 190,000; Full time

Job summary

Artefact is a global consulting firm specialising in Data & AI, dedicated to transforming data into measurable business impact. As an AI Engineer, you will design, develop, and deploy AI and Generative AI solutions for clients, applying cloud platforms and modern ML tooling.

You will work with data scientists, engineers, and business stakeholders to translate requirements into scalable, secure solutions and stay ahead of GenAI advances, MLOps, and cloud technologies.

Qualifications

• Bachelor's or Master's in a technical field.
• Professional AI/ML experience.
• Strong Python and SQL skills.
• Hands-on with ML/GenAI solutions.
• Experience with LLMs and related tech.
• Familiar with PyTorch, TensorFlow, Hugging Face.

Responsibilities

• Design, prototype, test, and deploy AI/ML and GenAI solutions.
• Develop GenAI capabilities with LLMs, RAG, embeddings, and prompts.
• Build ML models using PyTorch/TensorFlow.
• Create cloud-native data pipelines on AWS/Azure/GCP.
• Collaborate with stakeholders to translate requirements.
• Monitor, optimize, and productionise AI solutions.

Skills

Python

SQL

GenAI

ML frameworks

Cloud platforms

APIs & Git

DevOps

Education

BSc/MSc in CS or related field

Tools

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Databricks

Snowflake

BigQuery

Job description

Who is Artefact? Artefact is a global consulting firm specialising in Data & AI, dedicated to transforming data into measurable business impact. We combine business consulting with deep expertise in data, AI, analytics, and technology to help organisations accelerate their transformation. Our multidisciplinary teams bring together consultants, data scientists, data engineers, AI engineers, and technology experts to deliver impactful solutions for leading organisations around the world.

About The Role

As an AI Engineer, you will be a hands-on builder, working on the design, development, and deployment of AI and Generative AI solutions for our clients.

What You Will Be Doing

• Build & Deploy AI Solutions: Design, prototype, test, and deploy AI/ML and Generative AI solutions, from PoCs through to production.
• Generative AI & LLMs: Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other emerging GenAI capabilities.
• Machine Learning: Develop and integrate machine learning and deep learning models using relevant frameworks and libraries.
• Cloud & AI Engineering: Build and deploy solutions using GCP, Azure, or AWS, including cloud-native AI services and data pipelines.
• Solution Development: Contribute to the architecture and development of scalable, secure, and maintainable AI solutions.
• Productionisation: Support deployment, monitoring, optimisation, and integration of AI solutions into client environments.
• Client Collaboration: Work with business and technology stakeholders to understand requirements and translate them into technical solutions.
• Continuous Innovation: Keep up with developments across AI/ML, Generative AI, LLMs, MLOps/LLMOps, and cloud technologies and apply them to real business use cases.

What We Are Looking For

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI/Machine Learning, or another relevant technical field.
• Professional experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.
• Strong programming skills in Python and familiarity with SQL.
• Hands-on experience developing Machine Learning and/or Generative AI solutions.
• Experience with LLM-related technologies such as RAG, embeddings, prompt engineering, vector databases, or AI agents.
• Familiarity with ML/AI frameworks and libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent.
• Experience with at least one major cloud platform: GCP, Azure, or AWS.
• Good understanding of APIs, Git, software engineering practices, and the AI development lifecycle.
• Strong analytical and problem-solving skills.
• Good communication skills and the ability to collaborate with both technical and business stakeholders.

What Would Give You an Advantage

• Experience taking AI/GenAI solutions from PoC into production.
• Experience with MLOps/LLMOps, model deployment, monitoring, and lifecycle management.
• Experience with Docker, Kubernetes, CI/CD, or other DevOps technologies.
• Experience with frameworks and platforms for developing LLM or agentic AI applications.
• Experience with modern data platforms such as Databricks, Snowflake, or BigQuery.
• Previous experience working in a consulting or client-facing environment.
• Experience working on enterprise-scale Data & AI projects.

Why Join Artefact?

Work at the forefront of AI.

Build, not just advise.

Work with multidisciplinary teams.

Develop your skills.

Make an impact.

Come and build the future of Data & AI with us.

Teamwork makes the dream works.