Machine learning Engineer

Slashhash; Amsterdam; On-site; EUR 80,000 - 110,000; Full time

Job summary

Sia in Amsterdam seeks a Machine Learning Engineer to lead its Data team and drive AI product development. You will guide data scientists, make cloud architecture decisions, and build production-grade ML/AI solutions for client projects.

The role requires an MSc in a related field, 2–4 years of experience, expert Python skills, and fluency in English and Dutch. This position is based in Amsterdam with a focus on cloud-scale ML.

Qualifications

• MSc in a related field is required.
• 2–4 years of relevant experience.
• Expert Python skills are required.
• Fluency in English and Dutch.

Responsibilities

• Lead an internal data team in AI product development.
• Work in a multidisciplinary client project team.
• Make architectural and design decisions for cloud environments.
• Build production ML/AI solutions with solid software engineering.
• Guide Data Scientists to scale models to production.
• Deliver trainings, run internal and external events.
• Write blog posts and present at conferences.

Skills

Machine Learning

Deep Learning

Python

Scala

C++

Java

SQL

PostgreSQL

AWS

GCP

Azure

Git

Docker

Kubernetes

Apache Spark

Education

MSc in related field

Tools

Docker

Kubernetes

Apache Spark

AWS

GCP

Azure

SQL

PostgreSQL

Job description

Sia, a global management consulting group, seeks a Machine Learning Engineer to lead its Data team in Amsterdam. The role involves building AI products, guiding data scientists, and working on client projects. Requires MSc in a related field, 2-4 years of experience, expert Python skills, and fluency in English and Dutch.

Technical (Must-have)

• Machine Learning
• Deep Learning
• Python
• Scala
• C++
• Java
• SQL
• PostgreSQL
• AWS
• GCP
• Azure
• Git
• Docker
• Kubernetes
• Apache Spark

Soft Skills

• Leadership
• Project Management
• Time Management
• Problem Solving
• Communication
• Adaptability
• Collaboration
• Mentoring

Technical (Nice-to-have)

• Management Consulting

Key Responsibilities

• Leading an internal team towards the development of AI products
• Working in a multidisciplinary team on client projects as an expert on your subject
• Making architectural and design decisions for cloud environments
• Building production level ML/AI solutions with solid software engineering
• Guiding Data Scientists to scale up their models into production
• Giving trainings, leading internal meetings and organizing external events
• Participating in team meetings and workshops with clients
• Writing blog articles, presenting at conferences and sending out press releases

Machine Learning, Deep Learning, Python, Scala, C++, Java, SQL, PostgreSQL, AWS, GCP, Azure, Git, Docker, Kubernetes, Apache Spark, 4 years of relevant experience