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Machine Learning Engineer

Antwerp, Belgium

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Sia

What you’ll work on

Full posting
  • Lead an internal team developing AI products

  • Build production-level ML/AI solutions with solid software engineering

  • Guide Data Scientists to scale their models into production

  • Make architectural and design decisions for cloud environments

  • Work on multidisciplinary client projects as the subject expert

From the employer’s posting
Leading an internal team towards the development of AI products
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)
Making architectural and design decisions for cloud environments
Working in a multidisciplinary team on client projects as an expert on your subject

What you’ll bring

All qualifications

Core experience

  • You have excellent communication skills and can present complicated concepts in a synthetic way.
  • 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).
  • 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).
Qualification wording
You have excellent communication skills and can present complicated concepts in a synthetic way.
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).
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).
Education & alternatives
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.

Tools in this posting

  • C++
  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • Docker
  • GCP
  • Hadoop
  • Kubernetes
  • PostgreSQL
  • Spark
Source — Tool mentions in context
- 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).
- 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 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 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.
- 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).

Posting record

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Likely evergreenReposted 6 times since Sep 14, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Oct 27, 2026 · 2 days ago
Recorded sightings
21
Last seen by us
Oct 29, 2026
Reposted
6 times since Sep 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

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Job description

View original posting ↗

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 a regular follow-up as well 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 is required.
    • Ability or strong willingness to be professionally proficient in the Dutch language.

    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. 

    Company Description

    Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

    Source details

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    Pay

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    Location & working pattern

    Antwerp, Belgium

    Working pattern and location restrictions need checking in the full posting.

    Work authorization
    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.

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