Senior Machine Learning Engineer

Job Description

About Us

RepRisk is the worlds most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisks solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency.

We offer

• Fixed and variable compensation package
• Flexible working hours and arrangements
• An entrepreneurial, international, and dynamic work environment
• A shared mission to drive accountability and responsible behavior of companies, thus creating positive change
• A company that embraces diversity, because life would be boring if we were all the same!

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 Senior Machine Learning Engineer, you will play a crucial role in developing state-of-the-art Machine Learning applications within RepRisks Entities team. You will contribute to the design, implementation and operation of Machine Learning products within the company as part of our global Data division based in Zürich, Switzerland. Moreover, you will be:

• Design and implement new ML features that drive measurable business value
• Develop, integrate, and maintain microservices as part of larger applications
• Incorporate the latest advancements in ML, including Large Language Models (LLMs)
• Mentor team members and foster a collaborative engineering culture
• Train, evaluate, and optimize models for performance and scalability
• Maintain a well-balanced tech stack that prioritizes both simplicity and efficiency
• Contribute to clean, high-quality code through thorough code reviews
• Actively participate in Scrum discussions, sharing insights and feedback

You Offer

• A Master's degree (preferred) in Computer Science, Engineering, Statistics, or a related STEM field
• 4+ years of hands-on experience as an ML Engineer in a production environment
• Expert-level Python skills and solid proficiency in SQL
• Proven experience developing and deploying NLP and information retrieval models
• Hands-on experience integrating AI and LLMs into ML pipelines
• Strong grounding in software engineering best practices and clean, maintainable code
• Practical experience building and managing data pipelines
• Track record of designing scalable, data-driven software architectures
• Familiarity with cloud platforms, CI/CD workflows, and containerized environments
• A proactive mindset with a drive to take initiative and push projects forward
• Effective mentorship skills and ability to provide thoughtful, constructive feedback
• Strong analytical skills, structured problem-solving, and high execution efficiency
• Excellent communication skills and fluency in English
• Experience working with AWS, particularly SageMaker
• Prior experience fine-tuning or training LLMs

Additional information

Please note that we will only consider candidates with a valid work permit.