Machine Learning Engineer - Internships and Full-time Positions
Core
Build and deploy custom Machine Learning and Computer Vision solutions for financial services and life sciences clients.
Role type
Machine Learning Engineer (Internship or Full-Time)
Builds
Custom AI solutions combining automation with human insight for enterprise clients
Domain
Financial services (prediction, document analysis, LLMs) and Life Sciences (Computer Vision)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PyTorch, XGBoost, API development, relational databases, Git, English (B2+)
Preferred skills
LLM interaction via API, Machine Learning inference with PyTorch or ONNX
Technologies
Python, SQL, FastAPI, Snowflake, Postgres, Azure, AWS
Responsibilities
Train custom ML models, design and maintain CRUD APIs, deploy and monitor applications in cloud environments
Seniority
Intern (0-2 years exp) or Full-Time (2+ years exp or PhD/Postdoc)