Senior ML Engineer in GREATER ENSCHEDE AREA

Inverid is the market leader in NFC-based smartphone identity verification technology. Companies and governments worldwide use our ReadID software to verify identities remotely and reduce identity fraud. To expand our business with our current customers we are looking for a Machine Learning Ops engineer.

Your Job

• Design and develop robust machine learning models. Ensure the 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.
• Optimise existing machine learning models for better performance and efficiency.
• Implement and maintain CI/CD pipelines for machine learning applications.
• Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Apply cutting-edge research to practical business problems.
• Mentor junior machine learning engineers and data scientists, fostering a culture of innovation and continuous improvement in the team
• 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 our cloud team (we host in AWS and use Kubernetes) and server team (we primarily use Java Enterprise) to integrate services.
• Contribute to the roadmap for ReadID.

Who are you?

• 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 5 years of experience in machine learning or data science, with a proven track record of deploying scalable machine learning solutions in a production environment
• Expertise in machine learning algorithms and statistical modeling techniques.
• Strong programming skills in Python and experience with containerization (e.g., Docker).
• Experience with ML frameworks and libraries such as TensorFlow or PyTorch.
• Experience with MLOps stack (e.g. MLFlow, Airflow, Evidently)
• Experience with CI/CD tools and best practices.
• Familiarity with cloud platforms like AWS and cloud agnostic principles
• Experience designing, building, and maintaining ML systems
• Strong analytical skills and experience in data manipulation, analysis and pre-processing
• You can speak and write English fluently
• You are security minded
• You currently live in the Netherlands or are willing to relocate here. You work at least 2 days a week at the head office in Enschede.
• You are security minded
• You currently live in the Netherlands or are willing to relocate here. You work at least 2 days a week at the head office in Enschede

What do we offer?

• We offer a challenging work environment where you can make a difference in reducing identity fraud. You will work in a team of more than 60 highly qualified researchers, developers, architects and UX designers from 17 countries.
• Within Inverid, you will get extensive opportunities to specialise in different sectors and technologies, as a solid foundation for the rest of your career with internal and external training courses.
• Inverid offers a competitive salary with a result-dependent variable remuneration on top.
• Inverid offers a pension paid in full by the employer and the possibility to extend holidays.
• 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 Macbook) and a phone from us.
• You work from our head office in Enschede (the Netherlands). We support relocation if necessary, both financially and actively.
• Inverid has a recognised sponsorship from the Dutch government, which makes it possible for candidates from outside the EU to obtain a work visa.