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Remote Bangalore role with mid-level demand, but niche GenAI skillset limits candidate pool.
Specialized GenAI, MLOps, and healthcare compliance requirements make skills less transferable across industries.
Explicit 6+ years requirement plus mandatory LLM, RAG, LangChain, vector DBs, and MLOps skills.
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Design, develop, train, and deploy AI and Generative AI models including multi-modal LLMs and predictive analytics for healthcare applications.
Develop, test, and deploy AI solutions in cloud and on-premises environments ensuring reliability, scalability, and integration with Gainwell’s technology stack.
Monitor, optimize, and secure AI/GEN AI models leveraging ML Ops and LLM Ops practices with compliance to healthcare regulations and security standards.
Bachelor's, Master's, or higher degree in Computer Science, AI, Data Science, Engineering or related field.
6+ years experience in AI/ML engineering focused on developing and deploying AI solutions.
Proficiency in Python and frameworks like TensorFlow, PyTorch; experience with cloud platforms (AWS, Azure, GCP) and large language model fine-tuning.
Experience with multiple LLM fine-tuning techniques, Gen AI solutions using RAG architecture, Lang Chain, Lang Graph, vector & graph databases.
Experienced AI engineer with expertise in advanced Gen AI solutions including multi-modal LLM fine-tuning and deployment at scale.
Able to lead AI projects including interfacing across teams to translate business needs to feasible deployed solutions.
Proficient in ML Ops/LLM Ops, security implementation in AI, and compliance with healthcare industry standards such as HIPAA.