WHO ARE WE?

Gain.pro is on a mission to provide global private market visibility. Our industry-leading platform combines advanced AI tech with local-for-local research. It delivers the highest quality information on the companies that matter to you most.
We serve 100% of MBB/Big-4 advisories, clients representing >$500bn of private equity capital and more than 70% of the top-20 global M&A houses. Examples include Blackstone, Goldman Sachs and McKinsey. We lead the market on customer satisfaction, as validated by external research (User Evidence survey 2023).
Gain.pro has been named as one of Europe’s top 50 fastest growing businesses, operating globally with offices in Amsterdam, London, Frankfurt, Warsaw and Bangalore.

YOUR EXPERIENCE AND SKILLS

• >3 years of professional experience developing ML models to solve real-world business problems
• Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, NumPy)
• Experience working with LLMs, including prompt engineering, evaluation, and RAG systems
• Strong SQL skills; experience with PostgreSQL or similar databases
• Comfortable working in cloud environments (we use GCP) and with containerization tools (e.g., Docker)
• You have a relentless focus on business value
• You recognize when a third-party API does the trick

As a Machine Learning Engineer, you will be pivotal in our R&D efforts. Your focus will be on developing in-house ML models that extract private market insights and refining validation strategies for various use cases—primarily NLP—leveraging third-party APIs. Collaborating closely with backend and data engineers, you will integrate these models into production systems while continuously monitoring performance, identifying anomalies, and iteratively enhancing model robustness for significant business impact. This role requires a strong foundation in applied ML, rigorous experimentation, and a pragmatic approach to bridging R&D with production.