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Mid-level GenAI role in Bangalore with 5+ years experience and metro location, moderate competition.
Specialized GenAI and LLM skills transfer across industries but require ML domain expertise, moderate sensitivity.
Multiple mandatory GenAI skills, cloud experience and 5+ years requirement make shortlisting highly strict.
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Lead end-to-end development and deployment of Generative AI solutions including model selection, fine-tuning, and performance optimization.
Collaborate with cross-functional teams (Product, Engineering, Data Science) to deliver scalable AI applications in healthcare and other domains.
Mentor junior engineers and contribute to building a Generative AI Center of Excellence with ethical AI practices and data privacy compliance.
5+ years of experience in developing and implementing Generative AI solutions.
Strong technical expertise in Python, PyTorch, TensorFlow, Hugging Face Transformers, LLMs, diffusion models, GANs, NLP, and computer vision.
Master’s degree in Computer Science, AI/ML, or related field (explicitly mentioned).
Experience with cloud platforms (AWS, Azure, GCP), MLOps tools, and familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks.
Experienced in delivering Generative AI solutions in production environments, preferably with domain-specific application in healthcare.
Skilled in architecting AI solutions involving LLMs such as GPT, LLaMA, Claude, and multimodal models.
Able to work closely with architecture and development teams in an Agile environment and effectively manage stakeholder communications.