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Mid-level GenAI role in Bangalore at a prominent firm with broad ML/LLM requirements increases candidate competition.
Role demands specialized LLM and ML engineering experience, moderately limiting cross-industry transferability.
Explicit 4–7 years plus mandatory LLM, PyTorch, cloud and LangChain skills create stringent shortlisting filters.
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Design, develop, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Fine-tune foundation models with domain-specific data, optimize prompt engineering, and implement AI model pipelines using Python, PyTorch, Hugging Face, and LangChain.
Collaborate with data engineering and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP) ensuring robustness, scalability, and compliance.
4 to 7 years of relevant experience in Generative AI and software development.
Bachelor's degree in Engineering, Technology, or related field (B.E/B.Tech/M.Tech/MCA).
Proficiency in Python, PyTorch, Hugging Face Transformers, cloud platforms (Azure/AWS/GCP), and orchestration frameworks like LangChain.
Experience with REST APIs (FastAPI/Flask), ML pipeline tools (MLflow, Weights & Biases), and CI/CD practices for ML deployment (Azure ML, SageMaker pipelines).
Experienced mid-level professional with hands-on expertise in GenAI model development, fine-tuning, and enterprise AI integration.
Strong collaborative orientation to work effectively with data engineers and MLOps for cloud production deployments.
Technically proficient with end-to-end AI model lifecycle management including prompt engineering, API integration, and performance evaluation.