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Salary
≈ $74k – $191k per year (Estimated)
Location
Hybrid (Antwerp, Belgium)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 21, 2025. Faktion scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Faktion is a Belgian artificial intelligence company founded in 2017 and based in Antwerp. It develops computer vision, language and decision systems for industrial and enterprise customers. The company also builds its own products for document understanding and quality inspection.

As a Senior Machine Learning Engineer, you will be at the forefront of developing cutting-edge AI solutions for enterprises. You will both be implementing existing models, as join the development of custom models. In this position, you will leverage your expertise in machine learning to develop solutions that improve the efficiency or profitability of our customers. You like engaging with customers and colleagues and have a passion for building meaningful solutions using machine learning.

Some key responsibilities:

  • In your senior role, you assume the position of tech lead on projects, guiding junior colleagues through both technical and client-related aspects. You also play a pivotal role internally, propelling our company's technical prowess and enhancing our offerings to clients

  • You adeptly comprehend the business needs of customers and convert these into comprehensive technical solutions

  • Utilize Python to implement production-ready pipelines and machine learning models in the Cloud

  • Investigate the latest in machine learning research and lead the internal assessment and integration of innovative tools and frameworks

  • Ensure the high-standard completion of projects managed by your team

  • Provide technical mentorship to junior machine learning engineers

  • Conduct workshops for clients, showcasing your knowledge and skills

  • Apply your expertise to assist the sales team in qualifying and securing exciting new projects

Requirements

  • Excellent written and verbal communication skills in native Dutch and English (French is a plus).

  • Master's or PhD in Computer Science, Artificial Intelligence, or other quantitative field

  • Minimum of 5 years of experience in machine learning

  • Proficiency in programming languages such as Python, Java, or Scala.

  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

  • Proven track record of developing and deploying scalable machine learning models.

  • Excellent problem-solving and analytical skills.

  • Experience with cloud computing platforms (Microsoft Azure is a plus)

Following experiences are a plus:

  • Publications in relevant AI/ML conferences and journals is a plus

  • Experience in mentoring and leading technical teams

  • Strong communication and teamwork abilities

  • Experience in one of our focus domains: GenAI, NLP, Vision, Time Series Data, MLOps, Digital Twins, Manufacturing, Finance

We offer:

  • A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalization and group insurance, along with a top-tier laptop and smartphone.

  • Benefit from a company culture that stimulates both individual and team development, fostering your professional growth.

  • Utilize your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild.

  • Participate in (virtual) team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives.

  • A flexible hybrid working-policy to choose where, how, and when you want to work.

At Faktion we build AI, and we use it thoughtfully in our own processes too. During your application, AI tools may help us with practical steps, like checking that your documents came through complete. They never decide who moves forward: every application is read by a real person on our team, and every decision is made by a human. Curious how this works, or how your data is handled? Just ask, we're happy to explain.

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