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Metro GenAI role with moderate brand and broad cross-modal requirements increases competition.
Specialized GenAI/LLM skills are transferable across sectors but require ML infrastructure experience.
Mandatory hands-on GenAI, Python, ML frameworks, cloud, and deployment skills make shortlisting highly strict.
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Design and implement advanced Large Language Model (LLM) based solutions with end-to-end ownership.
Develop, maintain, and enhance code libraries, tools, and frameworks for generative AI applications.
Collaborate with cross-functional teams to integrate AI solutions into core systems across the software development lifecycle.
Hands-on Python programming skills with proficiency in application development frameworks (FastAPI/Django/Flask).
Experience in Natural Language Processing covering classification, topic modeling, Q&A, chatbots, search, summarization, and content generation.
Proficiency in generative AI tools including SaaS LLM platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock) and open-source frameworks (TensorFlow/PyTorch, Huggingface).
Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree or equivalent. Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in generative AI techniques including prompt engineering, LLM fine-tuning (PEFT, RLHF), and GPU utilization.
Experience working with cloud platforms such as Azure, AWS, or GCP, preferably with certification.
Demonstrated ability to independently deliver production-ready AI solutions and collaborate effectively in multi-disciplinary teams.