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Tier-1 brand, mid-level (4–7 yrs), Bangalore metro, and broad GenAI skillset increases competition.
Specialized GenAI and LLM experience is transferable but requires specific ML and MLOps background.
Explicit 4–7 years requirement and many mandatory GenAI, cloud, and MLOps skills enforce strict shortlisting.
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Design, develop, and deploy scalable Generative AI solutions leveraging large language models (LLMs) and transformer architectures.
Build and optimize model pipelines and APIs integrating GenAI capabilities into enterprise systems on cloud platforms (Azure, AWS, GCP).
Collaborate with data engineers and MLOps teams to ensure robustness, scalability, and compliance of AI models in production environments.
4 to 7 years of relevant work experience.
Bachelor’s degree in Technology (B.E/B.Tech) or equivalent (M.Tech/MCA also acceptable).
Strong expertise in Generative AI including LLMs, Python, PyTorch, Hugging Face Transformers.
Experience with cloud platforms (Azure, AWS, GCP) and orchestration frameworks like LangChain; familiarity with ML pipeline tools (MLflow, Weights & Biases) and CI/CD practices for ML.
Experienced in deploying and fine-tuning generative AI foundation models, with hands-on skills in advanced tools such as LangChain and model orchestration.
Comfortable working in collaborative environments with data engineering and MLOps teams focused on productionizing AI solutions at scale.
Proficient in implementing GenAI APIs and model pipelines aligned with enterprise needs on major cloud platforms ensuring scalability and compliance.