Carelon - Team Lead - Artificial Intelligence/Machine Learning

Carelon Global Solutions seeks a Tech Lead with a US healthcare background to develop and deploy AI/ML solutions, with particular emphasis on large language models (LLMs). The role is listed for Gurgaon/Gurugram, Bangalore and Hyderabad, India.

Responsibilities

• Work with data scientists, product managers and other stakeholders to acquire, process and manage data; build scalable, enterprise-grade pipelines for AI/ML model integration.
• Debug, optimize and quality-check machine learning models. Design scalable LLM inference architectures using GPU memory optimization and quantization for efficient deployment.
• Develop prompts and fine-tune LLMs for semantic retrieval and chatbots. Research and apply optimization methods, including knowledge distillation, to improve performance and reduce computational costs.
• Deliver natural language processing solutions for text classification, sentiment analysis and topic modeling, and adapt AI solutions to healthcare tasks. Evaluate new AI methods and frameworks.

Qualifications and skills:

• B.E./B.Tech in Computer Sciences, IT or Engineering; 10–14 years of programming experience, including Python, generative AI, machine learning, LLMs and CI/CD, plus 2–3 years of team management experience.
• Advanced Python skills, including NumPy, Pandas and scikit-learn; experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain and prompt engineering. Familiarity with Go or Rust, microservices, test-driven development and concurrent processing.
• Proficiency in vLLM or FastAPI for LLM serving, vector databases, RAG, semantic search, embeddings, feature engineering, dimensionality reduction, fine-tuning and model evaluation. Understanding of MLOps, deployment and monitoring; cloud services such as AWS, GCP and Azure; and network security for ML systems.
• Experience developing chatbots, recommendation systems or translation services and optimizing LLM performance and security. Strong grounding in statistics, probability, linear algebra, optimization, A/B testing, experimental design and hypothesis testing. The role also calls for analytical problem-solving, communication, project coordination, cross-functional collaboration and mentoring.