Machine Learning Engineer, Gain

• This role requires a strong foundation in applied ML, rigorous experimentation, and a pragmatic approach to bridging R&D with production
• >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

Desirable

• 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