ML Engineer/ML Ops

Leading in identity verification

Inverid is the market leader in NFC-based remote identity verification. Companies and governments worldwide use our product ReadID, software that verifies identities remotely and reduces identity fraud. Our customers include banks such as ING, Rabobank, and ASB Bank (New Zealand), government agencies such as the UK Home Office and the Danish Digital Agency.

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.

Try our technology yourself! Our personal app ReadID Me is available in the Play and App store.

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.

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 principles.

• 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.