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Specialized LLM/MLOps skills and Bangalore location with VC-backed visibility create moderate competition.
Core ML/LLM engineering skills transfer broadly, but healthcare-focused deployments increase domain specificity.
Explicit 7+ years requirement plus required ML/LLM frameworks and leadership makes filtering stringent.
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Lead and mentor a team of ~10 ML engineers focused on developing and deploying AI applications to reduce healthcare administrative burden.
Own technical direction and delivery for 4-5 successful GenAI/ML customer deployments annually, emphasizing reusable healthcare AI copilots.
Drive innovation and implementation of MLOps and LLMOps best practices in healthcare AI agents and model fine-tuning.
Bachelor's degree in Computer Science, Engineering, or related technical field.
Minimum 7 years industry experience in machine learning or AI development with significant team leadership on complex production projects.
Hands-on experience with TensorFlow, PyTorch, Langchain, LamaIndex, Huggingface, or similar ML frameworks.
Work Location: Bangalore office (onsite).
Experienced leader in ML engineering with strong background in large-scale healthcare AI applications and deployments.
Proficient in mentoring technical teams and managing complex AI projects involving GenAI and model fine-tuning.
Operates effectively across global teams, particularly with US-based leadership, demonstrating strong communication and project ownership.