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Strong employer brand and metro locations but niche GenAI specialization reduces applicant density.
Requires US healthcare domain experience and deep LLM expertise, limiting cross-industry transferability.
Explicit 10–14 years experience, mandated GenAI/LLM skills and leadership make shortlisting filters strict.
Lead AI/ML engineering efforts focused on integrating and optimizing GenAI, LLM, and Python-based solutions within healthcare domain.
Design, implement, and maintain scalable data pipelines and LLM inference architectures with advanced model optimization techniques such as quantization and GPU memory optimization.
Manage a team and collaborate with cross-functional teams to deliver production-ready AI solutions including chatbot development, semantic retrieval, and text analytics in healthcare.
10 to 14 years of programming experience, including 2-3 years in team management.
Mandatory skills: Python programming with expertise in data science libraries, deep learning frameworks (PyTorch, TensorFlow), LLM frameworks (Hugging Face Transformers, LangChain), and prompt engineering.
Bachelor's degree in Computer Science, IT, or Engineering (B.E/B.Tech).
Job location: Gurugram or Bangalore; Work Experience Required: 10 to 14 years.
Experience leading AI projects in healthcare, integrating domain knowledge with advanced AI/ML techniques for practical solutions.
Strong expertise in advanced LLM infrastructure, including optimization (quantization, knowledge distillation), deployment on cloud platforms (AWS/GCP/Azure), and MLOps best practices.
Proven ability to manage teams and coordinate with cross-functional stakeholders to translate business requirements into scalable AI applications.