Lead ML Engineer for AI Products & Client Impact

Sia; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hospital insurance

Performance bonus

Personal development plan

Job summary

Sia is a global management consulting group expanding its Data team with a Machine Learning Engineer role in Amsterdam. You will grow and lead the Data team, shape the future of ML within Sia, and work on client projects as well as Sia AI solutions with our Dutch, French, and global teams.

You will guide model deployment, implement scalable ML systems, and mentor engineers while collaborating across business units. Strong leadership and full-stack ML skills are essential for this role.

Qualifications

• MSc level education in CS, AI, math or related field.
• 2–4 years building production ML/DL pipelines and models.
• Strong ML fundamentals; domain expertise in CV/NLP encouraged.
• Expert Python; also Scala, C++, or Java preferred.
• Hands-on cloud experience (AWS/GCP/Azure).
• Experience with Docker/Kubernetes and big data tools.
• Fluent in English and Dutch; team mentoring is a plus.

Responsibilities

• Lead development of AI products within a multidisciplinary team.
• Architect and decide on cloud environments and deployment.
• Mentor Data Scientists; scale models to production.
• Collaborate on client projects and internal R&D initiatives.
• Write technical blog posts and present at events.

Skills

Python

Cloud platforms

Docker & Kubernetes

ML/Deep Learning

Leadership

Project management

Data engineering

Education

MSc in Computer Science / AI / Applied Math

Tools

PostgreSQL

Git

Spark

Job description

Sia is a global management consulting group expanding its Data team with a Machine Learning Engineer role in Amsterdam. You will grow and lead the Data team, shape the future of ML within Sia, and work on client projects as well as Sia AI solutions with our Dutch, French, and global teams.

You will guide model deployment, implement scalable ML systems, and mentor engineers while collaborating across business units. Strong leadership and full-stack ML skills are essential for this role.