Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: San Francisco - 3 days a week onsite

Length: 6-10 months

Strong programming skills in languages like Python, Java, and potentially others used in machine learning

Knowledge of ML Algorithms and Techniques

Experience with ML frameworks and libraries such as TensorFlow, PyTorch, and libraries like scikit-learn

Strong expertise with data handling and data analysis, feature engineering

Creating the necessary infrastructure and tools for training, deploying, and monitoring machine learning models

Ability to turn prototypes to production

Must have:

•Strong working experience in python including Pandas, numpy and FastAPI/Flask frameworks. •Good knowledge of cloud services, preferably AWS.

•Strong Database knowledge and be able to write and comprehend SQL queries.

•Should have Graphql knowledge

•Experience building API, Calculation Engines, batch, and real time modules supporting web applications used by Trading or Portfolio management teams

•Experience building real time applications for Structured, Rates, Corporate or Municipal Fixed Income Desk Experience with Python programming, AWS Stack - EKS, API Gateway, Lamda, Redis. Databases Postgress, S3 technologies, Integrating with market data providers like Bloomberg, TradeWeb etc.

•Should have worked on any ETL pipeline • 10-12 years of Experience in Asset management or financial services industry

•Strong communication skills, capable to coordinate with various stakeholders

Nice to have: •Knowledge of JupyterLab (Good to have)

•Knowledge of Apache Airflow or any Workflow management tool (Good to have)

•Knowledge of DevOps is plus and good to have.

•Strong learning mindset to learn and perform POC on new advanced technologies and services related to Data Science platforms.

Experience working on Financial Services Equity or Fixed Income trading use cases