Tech Stack AWS Azure Cloud Postgres Python PyTorch SQL
About the role Design, build, and experiment across diverse areas of financial services; Collaborate closely with UI/UX designers, frontend, and backend developers; Integrate ML models into clients’ cloud infrastructures; Maintain scalability, reliability, and performance of systems as innovations continue. Requirements Mandatory - Master’s degree in Data Science, Machine Learning, Computer Science, Physics, Math, Engineering or similar; - Proficiency in Python and SQL; - Familiarity with libraries such as Polars, XGBoost and PyTorch; - Knowledge of version control systems (e.g., Git); - B2+ English proficiency; Nice to Have - Experience with databases and warehouses (Postgres, Snowflake); - Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls; - Experience with cloud providers (AWS or Azure); Laptop, monitor, camera and noise-cancelling headphones; Paid lunch and coffee breaks when in office; Up to 20 days per year of work-from-anywhere. Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills Python SQL Machine Learning Data Science Polars XGBoost PyTorch Version Control Databases Cloud Infrastructure
Soft skills Collaboration Communication Problem Solving Adaptability Innovation
Certifications Master’s degree in Data Science Master’s degree in Machine Learning Master’s degree in Computer Science Master’s degree in Physics Master’s degree in Math Master’s degree in Engineering