Machine Learning Engineer
Core
Design, develop, deploy, and scale production-grade AI/ML systems with a strong focus on Large Language Models (LLMs), Generative AI, and intelligent automation workflows.
Role type
Senior IC machine learning engineer (LLMs/GenAI)
Builds
Production AI applications, LLM-powered agents, and scalable backend services
Domain
Generative AI, Large Language Models, Intelligent Automation
Deliverable
production ML models | product features
Required skills
Python, Large Language Models (LLMs), Generative AI, FastAPI, Machine Learning fundamentals, Scalable backend development, Cloud infrastructure, Containerization, Model evaluation and optimization
Preferred skills
Kubernetes, Google Cloud Platform (GCP), PyTorch, MLOps, Open-source contributions, Healthcare AI domain knowledge
Technologies
Python, FastAPI, PyTorch, Kubernetes, GCP
Responsibilities
Design and deploy production-grade ML and GenAI applications; Build and integrate LLM-powered agents and automation workflows; Develop scalable backend services and APIs; Design and implement end-to-end AI/ML pipelines; Integrate foundation models and LLM APIs into production; Evaluate model performance and optimize for accuracy, latency, and cost; Contribute to technical architecture decisions for ML systems
Seniority
Mid-Senior, hands-on IC