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Tier-1 brand, hot GenAI role, mid-level experience, and Bangalore metro increase competition.
Highly specialized GenAI skills (LLMs, PyTorch, HuggingFace, LangChain) limit cross-industry transferability.
Explicit 4–7 years and mandatory PyTorch, Transformers, cloud, LangChain, and ML pipelines create strict filters.
Design, develop, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Build intelligent applications and orchestrate model workflows using Python, PyTorch, Hugging Face Transformers, and LangChain or similar frameworks.
Collaborate with data engineers and MLOps teams to productionize AI models on cloud platforms like Azure, AWS, or GCP ensuring robustness, scalability, and compliance.
4 to 7 years of relevant work experience in Generative AI and associated technologies.
Bachelor of Technology (B.E./B.Tech) or equivalent degree is mandatory.
Strong expertise in Python, PyTorch, Hugging Face Transformers, and cloud platforms (Azure/AWS/GCP).
Experience with orchestration frameworks (LangChain/Langgraph), REST APIs (FastAPI/Flask), ML pipeline tools (MLflow, Weights & Biases), and CI/CD for ML (Azure ML, SageMaker pipelines).
Proven capability in fine-tuning and customizing foundation models using domain-specific datasets.
Experience integrating GenAI into enterprise applications and deploying models using containers or orchestration tools (e.g., Docker/Kubernetes) is advantageous.
Candidate thrives in technology-driven environments focusing on innovation and scaling AI solutions across cloud infrastructure with interdisciplinary collaboration.