Senior ML Engineer with Python (IR-536)
Core
Build and operationalize scalable ML platforms and backend systems for an AI-powered decision-making platform serving various industries including healthcare.
Role type
Senior Machine Learning Engineer (LLM/GenAI focus)
Builds
Scalable backend APIs, microservices, and production ML/LLM systems
Domain
Enterprise AI, Generative AI, Healthcare
Deliverable
production ML models
Required skills
Python (async/await, type hints, Pydantic), FastAPI, SQL, Vector databases (Pinecone, Weaviate, Chroma), RAG architectures, LangChain, LangGraph, Hugging Face, MLOps (MLflow), Azure OpenAI integration, OCR/Document understanding
Preferred skills
LlamaIndex, Langfuse, Celery, Kubernetes, Azure DevOps, Big Data ETL/ELT, Multi-tenant architecture design
Technologies
FastAPI, SQLAlchemy, Pinecone, Weaviate, Chroma, LangChain, LangGraph, MLflow, Azure OpenAI, Hugging Face, Celery, Langfuse
Responsibilities
Develop scalable backend systems and APIs using FastAPI; Deploy and operationalize LLMs and Deep Learning models; Implement MLOps including model tracking, drift detection, and feedback loops; Build and orchestrate model pipelines for feature engineering and inference; Optimize LLM usage costs and implement prompt management systems; Integrate third-party APIs and cloud services; Write production-ready, testable code following SOLID principles
Seniority
Senior, hands-on IC