
Senior ML Engineer
Faktion BVover 2 years ago
Antwerp, BelgiumSenior
Responsibilities
- Implement existing and custom machine learning models for enterprise customer solutions.
- Develop production-ready machine learning pipelines and models in the cloud using Python.
- Serve as technical lead on projects and guide junior colleagues through technical and client-related work.
- Translate customer business needs into comprehensive technical solutions.
- Investigate machine learning research and lead assessment and integration of innovative tools and frameworks.
- Ensure high-standard completion of projects managed by the team.
- Mentor junior machine learning engineers.
- Conduct client workshops and support the sales team in qualifying and securing projects.
Requirements
- Master's or PhD in Computer Science, Artificial Intelligence, or another quantitative field.
- At least 5 years of experience in machine learning.
- Proficiency in Python, Java, or Scala.
- Familiarity with machine learning frameworks such as TensorFlow and PyTorch.
- Proven experience developing and deploying scalable machine learning models.
- Experience with cloud computing platforms; Microsoft Azure is a plus.
- Native Dutch and English communication skills; French is a plus.
- Strong problem-solving, analytical, communication, and teamwork skills.
- Experience mentoring or leading technical teams is a plus.
- Publications in relevant AI/ML conferences or journals and experience in domains such as GenAI, NLP, Vision, Time Series Data, MLOps, Digital Twins, Manufacturing, or Finance are a plus.
Benefits
- Salary package with additional perks including a company car and fuel card or mobility budget, hospitalization and group insurance, laptop, and smartphone.
- Company culture supporting individual and team development and professional growth.
- Innovation budget for educational and challenging open-source projects.
- Virtual and in-person team-building activities and gatherings.
- Flexible hybrid working policy allowing employees to choose where, how, and when they work.