Machine learning Engineer

Sia; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Mobility budget

Hospital insurance

Performance-related bonus

Job summary

Sia in Amsterdam is seeking a Machine Learning Engineer to lead a team in developing AI products and client solutions. You will collaborate with Data Scientists and Engineering teams while shaping the future of AI within the company.

The ideal candidate holds an MSc in a relevant field and has 2-4 years of experience in ML engineering, with strong coding skills in Python and familiarity with cloud technologies. A competitive salary and personal development opportunities are offered.

Qualifications

• 2-4 years of experience in building production-quality ML/Deep Learning pipelines.
• Expert coding skills in Python and familiarity with Scala, C++, or Java.
• Hands-on experience with cloud-based infrastructures.

Responsibilities

• Lead internal team in developing AI products.
• Work on client projects and build Sia AI solutions.
• Make architectural decisions for cloud environments.

Skills

Project management

Problem solving

Data Science enthusiasm

Communication

Team collaboration

Education

MSc in Computer Science, Applied Mathematics, or related field

Tools

Python

SQL

AWS

Docker

Spark

Job description

Job Description

What you will do

As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.

Your responsibilities include:

• 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 (parallelizing, optimizing, tuning, testing, and wrapping);
• 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 on the subject that you lead.

Who you will work with

The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.

Who you are

• You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.
• You have first‑rate project management and time management skills.
• You are a true problem solver, you turn complex issues into simple and impactful business solutions.
• You are enthusiastic for applying Data Science/Engineering solutions to business problems.
• You have excellent communication skills and can present complicated concepts in a synthetic way.
• You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.
• You have the ability to work collaboratively in a team environment.

In return, you can expect:

• An international company that gives importance to diversity, inclusion, employee well‑being and corporate social responsibilities actions.
• A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged.
• A personal development plan with regular follow‑up and training opportunities to develop yourself.
• A competitive salary with great advantages, like mobility budget, hospital insurance, performance‑related bonus, …

Qualifications

• MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.
• 2‑4 years of experience in building production‑quality ML/Deep Learning pipelines and models.
• Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).
• Expert coding skills in Python and at least one of these languages: Scala, C++, Java.
• Hands‑on experience with database management languages (e.g., SQL, PostgreSQL).
• Hands‑on experience in cloud‑based infrastructures (AWS/GCP/Azure).
• Hands‑on experience with Unix‑based command line and DevOps tools (Git, Docker, Kubernetes).
• Hands‑on experience with big data technologies (e.g., Spark, Hadoop, Databricks).
• You have a strong interest in data and AI‑related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.
• Experience with coaching/mentoring other engineers.
• Prior experience in Management Consulting is a strong plus.
• Willingness to travel and work at local and international clients.
• Fluency in spoken and written English and Dutch is required.

Additional Information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.