ml engineer for financial search

RavenPack develops generative AI tools, big data analytics, and SaaS services for financial professionals. Its Bigdata platform powers financial AI agents and helps hedge funds, banks, and asset managers enhance returns, reduce risk, and increase efficiency.

• Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval models;
• Fine-tune and distill Language Models for domain-specific expertise;
• Implement semantic embedding techniques, including binary, matryoshka, and late interaction models;
• Architect and implement recommender systems that personalize user experience and drive content discovery;
• Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions;
• Research and evaluate emerging trends and academic research in ML, NLP, and Information Retrieval;
• Prototype new ideas to maintain the team’s competitive edge.

• Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field;
• 3+ Years of professional experience building and deploying machine learning models in production;
• Significant experience in Information Retrieval, Search, or Recommender Systems;
• Strong Python programming skills;
• Familiarity with SQL or other query languages;
• Deep knowledge of PyTorch or TensorFlow, Scikit-learn, and Hugging Face;
• Hands-on experience with vector databases;
• Exceptional quantitative and problem-solving skills;
• Strong statistical and mathematical reasoning;
• Excellent verbal and written communication skills in English;
• European legal working status;
• Nice to have: experience in the financial domain, experience with MLOps tools and cloud platforms.

• Support for professional growth and continuous learning;
• International environment with over 29 nationalities and 24 languages spoken;
• Equal opportunity employer with a commitment to diversity.