Machine Learning Engineer developing and integrating ML models for financial services startup. Collaborating with designers and developers in a hybrid work environment.
Responsibilities
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);
Benefits
Laptop, monitor, camera and noise-cancelling headphones;
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