Machine Learning Specialist in GREATER ENSCHEDE AREA

As a Machine Learning Engineer, you’ll play a key role in integrating scalable ML models into our innovative products, contributing to the security and reliability that our customers depend on. Work in a collaborative, multicultural environment with access to top-tier tools and training to grow your career while making a difference.

Your job

• Ensure that machine learning models are scalable and integrated seamlessly with existing company products and platforms.
• Deploy machine learning models into production and monitor their performance. Continuously refine models based on real-world feedback and data
• Develop and maintain automated pipelines for data preprocessing, model training, and deployment
• Implement and maintain CI/CD pipelines for machine learning applications
• Develop and maintain APIs exposing ML models (we use Fastapi)
• Stay updated with the latest developments in machine learning. Apply cutting-edge research to practical business problems
• Work in our growing Machine Learning team, part of the innovation unit, with a.o., ML engineers and backend developers, all with MSc, BSc or PhD degree
• Work closely with other teams in the company such as the cloud team (AWS, Kubernetes) and server team (Java Enterprise) to integrate services

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What do you bring?

• You have a university (MSc) or applied university/college (HBO/BSc) degree in Computer Science, Software Engineering, Data Sciences, Machine Learning or similar
• Minimum of 3 years of experience, with a proven track record of deploying scalable machine learning solutions in a production environment
• Strong programming skills in Python and experience with containerisation (e.g., Docker)
• Experience with ML frameworks and libraries such as TensorFlow or PyTorch
• Experience with MLOps stack (e.g. MLFlow, Prefect, Evidently
• Experience with CI/CD tools and best practices
• Experience with backend development and frameworks such as Fastapi, Djando Rest Framework, Flask
• Familiarity with cloud platforms like AWS and cloud agnostic principle
• Experience designing, building, and maintaining ML systems
• Strong analytical skills and experience in data manipulation, analysis and preprocessing
• Knowledge on computer vision technology is not a prerequisite but is appreciated
• You can speak and write English fluently
• You are security minded

What do we offer

• We offer an innovative and challenging work environment where you can make a difference in reducing identity fraud
• You will work in a team of more than 70 highly qualified colleagues with 15 different nationalities spread over offices in Enschede, Valencia and London. Our working language is English
• At Inverid you will get extensive internal and external training possibilities to help you grown in your area and expand your knowledge, as a solid foundation for the rest of your career
• We offer an excellent salary topped by a result-dependent variable remuneration and option scheme
• A fully employer-paid pension and the opportunity to buy additional holidays are part of the package
• We consider work-life balance very important and offer the possibility of flexible hours and working from home. Part-time is possible with a minimum of 32 hours per week
• Naturally, you will receive a high-end laptop (Windows or Apple) and a phone from us, including subscription
• We support relocation if necessary, both financially and actively. We are a recognised sponsor under the Dutch IND to allow people from outside EU to join us