Machine Learning Engineer
Role summary
We are seeking a Machine Learning Engineer with strong hands-on development and cloud experience, preferably within asset management or financial services. The role involves designing, developing, and deploying ML-driven applications, building APIs, and creating scalable production-ready solutions. Responsibilities include developing data pipelines, feature engineering, analytics workflows, and the infrastructure for ML model training, deployment, and monitoring. Integration with market data providers and collaboration with various stakeholders are key. Required skills include Python (Pandas, NumPy, FastAPI/Flask), ML frameworks (TensorFlow, PyTorch, scikit-learn), understanding of ML algorithms and data analysis, AWS experience (EKS, Lambda, API Gateway, S3, Redis), strong SQL and database knowledge (PostgreSQL), GraphQL, API development, ETL pipeline experience, and domain expertise in asset management or financial services.
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.
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