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Tier-1 brand, hot GenAI skillset, mid-level experience, and Bangalore metro location drive high competition.
Specialized GenAI, LLM, PyTorch and LangChain skills create high domain specificity and limited transferability.
Explicit 4–7 years plus mandatory GenAI, PyTorch, cloud and tooling requirements make shortlisting strict.
Design, build, and deploy scalable Generative AI solutions using state-of-the-art LLMs and transformer architectures.
Fine-tune foundation models with domain-specific data and implement model orchestration with frameworks like LangChain.
Collaborate with engineering teams to productionize AI models on cloud platforms (Azure, AWS, GCP) ensuring scalability, compliance, and integration with enterprise applications.
4 to 7 years of relevant work experience in Generative AI and ML deployment.
Proficiency in Python, PyTorch, Hugging Face Transformers, and cloud platforms (Azure, AWS, GCP).
Experience with orchestration frameworks (LangChain/Langgraph), REST API development (FastAPI or Flask), and ML pipeline tools (MLflow, Weights & Biases).
Bachelor's degree in Technology (B.E/B.Tech) or equivalent (M.Tech/MCA also accepted).
Strong expertise specifically in Generative AI models, prompt engineering, and agentic AI implementations using LangChain or similar.
Experience working in multidisciplinary teams combining data engineering and MLOps for production-grade deployments on cloud platforms.
Demonstrated ability to integrate AI model outputs into enterprise applications with scalable, maintainable APIs and adherence to CI/CD practices for ML workflows.