AI/ML Engineer II
Core
Develop, test, implement, and integrate machine learning models and GenAI applications into business processes and IT solutions.
Role type
Machine Learning Engineer II
Builds
Production ML models, GenAI applications, and data pipeline integrations for business activities
Domain
Financial services / Machine Learning / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Pandas, NumPy, PySpark, Scikit-learn, XGBoost, TensorFlow, PyTorch, NLTK, AWS, GCP, Azure, Snowflake, Apache Airflow, Docker, FastAPI, Flask
Preferred skills
None stated
Technologies
AWS (S3, EC2), GCP (Vertex AI, BigQuery, Cloud Storage), Microsoft Azure, Snowflake Snowpark, OpenShift, GitLab CI/CD, Domino
Responsibilities
Contribute to the full ML lifecycle including analysis, solution design, data pipeline engineering, testing, deployment, and API development; refactor code into maintainable IT solutions; configure and manage AI/ML infrastructure components in cloud/on-prem environments; assist in designing test scripts to verify data integrity and functionality.
Seniority
Mid-level IC (2+ years experience)
