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Tier-1 brand, metro Bangalore, mid-level (4–7 yrs), and broad GenAI toolset make competition high.
GenAI/LLM specialization is industry-transferable yet technically specialized, yielding medium background-fit sensitivity.
Explicit 4–7 years plus many mandatory GenAI technologies and cloud deployment requirements imply high shortlisting strictness.
Design, develop, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Build and optimize AI model pipelines using Python, PyTorch, Hugging Face Transformers, and orchestration frameworks like LangChain.
Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure, AWS, GCP) and integrate these into enterprise systems via APIs.
4 to 7 years work experience in Generative AI or related fields.
Proficiency in Python, PyTorch, Hugging Face Transformers, LangChain or similar orchestration frameworks, REST APIs (FastAPI or Flask), ML pipeline tools (MLflow, Weights & Biases), and cloud platform deployment (Azure, AWS, GCP).
Bachelor's degree in Technology (B.E./B.Tech) is mandatory.
Work Experience Required: 4 to 7 years
Experienced in end-to-end GenAI product lifecycle including fine-tuning models, prompt engineering, and model performance evaluation.
Familiar with CI/CD practices for ML and capable of collaborating with multi-disciplinary teams (data engineers, MLOps) for scalable cloud deployment.
Capable of integrating generative AI into enterprise-grade applications maintaining robustness, scalability, and compliance.