Ml Engineer In Fintech

????????: RavenPack develops generative AI tools, big data analytics, and SaaS services for the finance industry.Its products help hedge funds, banks, and asset managers integrate public information into financial models and workflows, including through the Bigdata Gen-AI platform.??????Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval modelsFine-tune and distill Language Models for domain-specific expertiseImplement semantic embedding techniques, including binary, matryoshka, and late interaction modelsArchitect and implement recommender systems that personalize user experiences and drive engagement and content discoveryCollaborate with product managers, software engineers, and data scientists to translate business needs into technical solutionsResearch and evaluate emerging trends and academic research in ML, NLP, and Information RetrievalPrototype 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 hands?on professional experience building and deploying machine learning models in production; Significant experience with 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 withvector databases; Exceptional quantitativeand problem?solving skills; Strong statistical and mathematical reasoning; Excellent written and verbal English communication skills; European legal working status; Nice to have: Experience in the financial domain, experience with MLOps tools and cloud platforms.???????Competitive salary; Continuous learning support; International environment with over 29 nationalities and 24 languages spoken; Equal opportunity employer with a commitment to diversity.#J-*****-Ljbffr

??????Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval modelsFine-tune and distill Language Models for domain-specific expertiseImplement semantic embedding techniques, including binary, matryoshka, and late interaction modelsArchitect and implement recommender systems that personalize user experiences and drive engagement and content discoveryCollaborate with product managers, software engineers, and data scientists to translate business needs into technical solutionsResearch and evaluate emerging trends and academic research in ML, NLP, and Information RetrievalPrototype 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 hands?on professional experience building and deploying machine learning models in production; Significant experience with 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 withvector databases; Exceptional quantitativeand problem?solving skills; Strong statistical and mathematical reasoning; Excellent written and verbal English communication skills; European legal working status; Nice to have: Experience in the financial domain, experience with MLOps tools and cloud platforms. ???????Competitive salary; Continuous learning support; International environment with over 29 nationalities and 24 languages spoken; Equal opportunity employer with a commitment to diversity. #J-*****-Ljbffr