AI Developer (HealthCare Experience)
Core
Design, develop, and deploy intelligent AI solutions (Generative AI, LLMs, RAG) to solve complex business challenges in healthcare.
Role type
Senior Generative AI Engineer (MLOps)
Builds
Generative AI platforms, LLM inference pipelines, and production-ready AI systems for healthcare clients.
Domain
Healthcare / Managed Care
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, MLOps, Docker, Kubernetes, Azure Cloud, LangChain, Vector databases, Knowledge Graphs, LLM fine-tuning, RAG, CI/CD, Infrastructure as Code
Preferred skills
Master's degree in CS/Data Science/AI, AI/Data Science certifications, Healthcare domain expertise
Technologies
Azure, Docker, Kubernetes, LangChain, Streamlit, GitHub Copilot, OpenAI, LLaMA, TensorFlow, PyTorch, Scikit-learn, OpenCV
Responsibilities
Define and lead architecture of Generative AI platforms; Design and implement AI models and algorithms; Rapidly prototype proof-of-concept solutions; Train, validate, and fine-tune machine learning and deep learning models; Deploy models using cloud infrastructure and containerization; Implement and manage MLOps pipelines; Monitor model performance and retrain as needed; Collaborate with cross-functional teams to integrate AI capabilities.
Seniority
Senior, hands-on IC