Machine Learning/ML Ops Engineer
About this role
Join an innovative and collaborative tech team dedicated to building intelligent solutions for advanced industrial processes!
As a Machine Learning Engineer, you’ll play a crucial role in turning AI models into real-world applications. Your main mission? To develop, integrate, and maintain the software components that bring machine learning models to life in production environments.
While the core model design will be handled by Data Scientists, you’ll be responsible for wrapping that model into scalable, robust, and maintainable applications. You’ll also lead the development of data pipelines, ensure system reliability, and help establish strong MLOps practices across the team.
Your Key Responsibilities
- Develop, implement, and maintain software solutions around ML models.
- Build robust and scalable data ingestion systems when needed.
- Drive best practices in MLOps, including versioning, testing, and monitoring of deployed models.
- Collaborate closely with Data Scientists and software engineers to optimize ML applications.
- Conduct code reviews and contribute to continuous improvement of the development lifecycle.
- Take initiative in discussions and challenge ideas to arrive at the best technical solutions.
Your skills
What You Bring
- Hands-on experience with MLOps methodologies and deployment frameworks.
- Proven track record in bringing diverse AI models to production with proper monitoring and lifecycle management.
- Strong programming skills in Python and PySpark.
- A passion for automation, clean code, and engineering excellence.
- Critical thinking and a proactive mindset—you're not afraid to question assumptions.
- Solid understanding of software engineering fundamentals (testing, documentation, DRY principles, etc.).
- Experience using Git and working in CI/CD environments.
Bonus Points For
- Familiarity with containerization and orchestration tools (e.g., Kubernetes).
- Experience working with Databricks.
Why You Should Apply
You'll be part of a forward-thinking organization where your contributions directly impact real-world operations. Work in a collaborative environment with cutting-edge tools and a team that's as passionate about tech as you are.
Our offer
Projective Talent is part of Projective Group, but we don’t do things the typical way. We’re not a recruiter. We’re not just a consultancy. We’re a launchpad for ambitious minds. You’re in the driver’s seat of your career, and we’re here to support your journey.
Here’s what you can expect from us:
- We offer a competitive salary and a flexible mobility budget (yes, including the option of a company car or bike leasing). You’ll also get meal and eco vouchers, an individual training budget, and bonus opportunities—because we believe great work should be rewarded.
- You’ll enter one of our Smart Programmes, based on where you are in your career and where you want to grow.
- Based on your skills, your ambitions, and your personality, we’ll look for the right client match together.
- You’ll be coached throughout the journey by your very own Talent Development Officer, someone who’s genuinely there to help you thrive.
- We promise you’ll never feel like you’re on your own. Expect regular learning sessions, social events and a close-knit community that always has your back.
- After two years of growth, learning and real impact, you’ll have the chance to join your client permanently. But don’t worry, we’re looking forward to welcoming you at one of our regular alumni events.
Key Skills
Ranked by relevance
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- Posted
- May 23, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Brussels
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
ML Ops Engineer
2026-05-19
Machine Learning Engineer / Ingénieur en apprentissage automatique
2026-05-19
Medior AI Engineer (1 -2 jaar ervaring)
2026-03-09