AI/ML Engineer

Artefact; Kuala Lumpur; On-site; MYR 120,000 - 200,000; Full time

Job summary

Artefact is seeking an AI/ML Engineer - Consultant to bridge strategy and technical execution for global clients. You will lead end-to-end AI initiatives from rapid PoCs to production-ready systems, balancing business impact with engineering excellence.

In this builder-first, consultant-second role, you’ll design scalable architectures on cloud platforms, mentor junior engineers, and collaborate with data scientists and strategy consultants to deliver pragmatic AI solutions.

Qualifications

• 2+ years in Software Engineering, Data Science, or AI/ML development.
• Proficient in Python and SQL; Java, C++, or Node.js a plus.
• Experience with TensorFlow, PyTorch, or HuggingFace.
• Hands-on with LLMs, prompt engineering, fine-tuning, vector embeddings.
• Experience deploying AI solutions on AWS, GCP, or Azure.
• Data engineering: ETL/ELT pipelines and SQL/NoSQL/Graph databases.

Responsibilities

• Design, implement, and deploy AI solutions tailored to client needs.
• Act as a technical advisor translating business requirements into architectures.
• Build PoCs and transition to production with security and performance in mind.
• Design AI infrastructure using cloud-native services and data pipelines.
• Collaborate with data scientists, PMs, and strategy consultants.
• Mentor junior engineers on best practices and MLOps.

Skills

Python

SQL

English

German or French

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

Git

Docker

Kubernetes

MLOps

Job description

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

We are looking for an AI/ML Engineer - Consultant to bridge the gap between high-level strategy and technical execution. You will act as a “builder first, consultant second,” designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems.

Key Responsibilities

• Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs.
• Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices.
• Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability.
• Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines.
• Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives.
• Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards.

Technical Requirements

• Experience: 2+ years in Software Engineering, Data Science, or AI/ML development.
• Core Programming: Mastery of Python and SQL; familiarity with other languages (Java, C++, or Node.js) is a plus.
• AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace.
• Generative AI: Hands-on experience with LLMs, prompt engineering, fine-tuning, and vector embeddings.
• Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure.
• Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning).
• Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph).

Qualifications & Soft Skills

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field.
• Communication: Fluency in English and the local regional language (German or French). Ability to explain complex technical concepts to non-technical business leaders.
• Mindset: A “builder’s mindset” with the agility to work in a fast-paced, client-facing consulting environment.
• Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred.

What to Expect

• A collaborative “scale-up” environment with a heavy focus on continuous learning and a dedicated training budget.
• Opportunity to lead high-visibility projects within the first year.