Machine Learning Engineer
il y a 2 semaines
I am currently searching for a Machine Learning Engineer to join my client in Belgium on a payroll basis.
The ideal candidate will have knowledge of Python, Machine Learning and Java (Spring Boot).
**This position is also open to fully remote candidates based in the CET time-zone**
Your Role:
- Architect and Develop ML Integration: Design and implement the software architecture for machine learning integration within the product.
- Collaborate Across Teams: Work with stakeholders (product owners, data scientists, architects, front-end engineers) to align user requirements and standards with technical specifications and integration strategies.
- Back-End Oversight: Lead the design and review of back-end systems, including data access layers, ensuring seamless functionality and scalability.
- Continuous Improvement: Stay updated on emerging tech (e.g., TensorFlow, PyTorch, Azure ML) to refine back-end architecture and enhance ML integration capabilities.
Required Skills:
- Educational Background: Degree in Computer Science, Software Engineering, or related field.
- Technical Expertise:
- Strong experience in software architecture and engineering.
- Skilled in Python and Java (Spring Boot).
- Deep understanding of data structures, algorithms, and OOP.
- Proficient in machine learning concepts and tools.
- Solid knowledge of relational databases (MySQL, PostgreSQL) and RESTful API design.
- Work Environment: Agile/Scrum experience with a collaborative mindset.
- Communication: Clear articulation of technical concepts to both technical and non-technical stakeholders.
The Offer:
What We Offer:
- Exciting Opportunities: Be part of a dynamic, fast-growing company in the industrial analytics space, working with a global team of experts in data science, software engineering, and industrial automation.
- Competitive Benefits: Attractive salary, benefits package, and a company car or mobility budget.
- Top-Tier Equipment: Developer laptop (MacBook Pro).
- Flexibility: Work remotely up to 60% or fully remote if outside Belgium, with flexible working hours and a strong focus on work/life balance.
- Prime Location: Access to a modern office at the Corda Campus in Hasselt.
- Career Growth: Expand your skills and advance your career in a fast-expanding company with state-of-the-art tools and a visionary approach.
- Supportive Environment: Collaborative, open-minded culture that encourages personal and professional development.
- Learning Opportunities: Personal learning and development budget, company-managed, and external training opportunities.
The Offer:
What We Offer:
- Exciting Opportunities: Be part of a dynamic, fast-growing company in the industrial analytics space, working with a global team of experts in data science, software engineering, and industrial automation.
- Competitive Benefits: Attractive salary, benefits package, and a company car or mobility budget.
- Top-Tier Equipment: Developer laptop (MacBook Pro).
- Flexibility: Work remotely up to 60% or fully remote if outside Belgium, with flexible working hours and a strong focus on work/life balance.
- Prime Location: Access to a modern office at the Corda Campus in Hasselt.
- Career Growth: Expand your skills and advance your career in a fast-expanding company with state-of-the-art tools and a visionary approach.
- Supportive Environment: Collaborative, open-minded culture that encourages personal and professional development.
- Learning Opportunities: Personal learning and development budget, company-managed, and external training opportunities.
The Offer:
- Exciting Opportunities: Be part of a dynamic, fast-growing company in the industrial analytics space, working with a global team of experts in data science, software engineering, and industrial automation.
- Competitive Benefits: Attractive salary, benefits package, and a company car or mobility budget.
- Top-Tier Equipment: Developer laptop (MacBook Pro).
- Flexibility: Work remotely up to 60% or fully remote if outside Belgium, with flexible working hours and a strong focus on work/life balance.
- Career Growth: Expand your skills and advance your career in a fast-expanding company with state-of-the-art tools and a visionary approach.
- Supportive Environment: Collaborative, open-minded culture that encourages personal and professional development.
- Learning Opportunities: Personal learning and development budget, company-managed, and external training opportunities.
If this position interests you, apply now
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