Financial Advisor delivering goals - based wealth management and investment products at Merrill. Establishing relationships and providing customized financial planning solutions.
About the role
- 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;
- Paid lunch and coffee breaks when in office;
- Up to 20 days per year of work-from-anywhere.
Job title
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