Machine Learning Engineer

About You 

Are you looking for an opportunity to work on meaningful, cutting-edge projects in machine learning? Did you wonder what it would be like to work at a company where your contribution has a real, measurable impact – and you are rewarded for it?    

If you have a knack for data and aspire to contribute to ethical tech development, then this is the perfect role for you! We value autonomy, allowing you to bring your innovative ideas to fruition in an inclusive, feedback-oriented environment. Your work on NLP will directly contribute to advancing corporate responsibility through technology.

Your Responsibilities 

As our new Machine Learning Engineer, you will play a key role in developing state-of-the-art Machine Learning applications within RepRisk’s Entities team. You will contribute to the design, implementation and operation of Machine Learning products as part of our global Data division. Moreover, you will: 

• Design and implement new ML features that deliver measurable business value 

• Build and optimize multifaceted search engines that aggregate and search data across multiple sources (meta-search) 

• Develop, integrate, and maintain microservices within larger applications 

• Apply the latest advancements in ML, including Large Language Models (LLMs) 

• Train, evaluate, and optimize models for performance, scalability and reliability in production environments 

• Collaborate closely with other ML engineers, backend engineers and product owners to continuously improve the products 

• Contribute to a well-balanced tech stack, prioritizing both simplicity, maintanibility and efficiency 

• Ensure clean, high-quality code through thorough code reviews and engineering best practices 

• Actively participate in Agile/Scrum processes, contributing insights and feedback