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.

• 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, Trade Web)
• Collaborate with trading, portfolio management, and technology stakeholders

• Strong Python experience (Pandas, Num Py, FastAPI/Flask)
• Experience with ML frameworks (Tensor Flow, 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 (Postgre
  
  SQL)
• Experience with Graph
  
  QL and API development
• ETL pipeline experience
• experience in asset management or financial services
• Strong communication and stakeholder coordination skills

• Health insurance
• Health savings account
• Dental insurance
• Vision insurance
• Flexible spending accounts
• Life insurance
• Retirement plan

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.