Machine Learning Engineer

We are seeking a Machine Learning Engineer, requires strong hands-on development, cloud experience, and deep exposure to asset management or financial services environments. Responsibilities • Design, develop, and deploy ML-driven and data-intensive applications • Build APIs, calculation engines, batch and real-time processing modules • Convert ML prototypes into scalable, production-ready solutions • Develop and maintain data pipelines, feature engineering, and analytics workflows • Build infrastructure for training, deploying, and monitoring ML models • Integrate applications with market data providers (e.g., Bloomberg, TradeWeb) • Collaborate with trading, portfolio management, and technology stakeholders Required Skills & Experience • Strong Python experience (Pandas, NumPy, FastAPI/Flask) • Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) • Strong understanding of ML algorithms, data analysis, and feature engineering • AWS experience (EKS, Lambda, API Gateway, S3, Redis) • Strong SQL and database knowledge (PostgreSQL) • Experience with GraphQL and API development • ETL pipeline experience • experience in asset management or financial services • Strong communication and stakeholder coordination skills Benefits (W2) • Health insurance • Health savings account • Dental insurance • Vision insurance • Flexible spending accounts • Life insurance • Retirement plan EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.