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Strong Tier-1 employer, mid-level 4–7 year range, and Bangalore metro increase candidate competition.
Role requires specialized GenAI/LLM and MLOps expertise, limiting cross-industry transferability.
Explicit 4–7 years plus mandatory LLM, PyTorch, cloud, and LangChain skills make filters strict.
Design, develop, and deploy scalable Generative AI solutions using large language models and transformer architectures.
Build intelligent applications, optimize prompt engineering, and integrate GenAI capabilities into enterprise systems leveraging cloud platforms (Azure, AWS, GCP).
Collaborate with data engineering and MLOps teams to productionize models ensuring robustness, scalability, and compliance.
4 to 7 years of work experience in AI or related roles.
Proficiency in Python, PyTorch, Hugging Face Transformers, LangChain or similar, REST APIs (FastAPI/Flask), and cloud platforms (Azure, AWS, or GCP).
Experience with ML pipeline tools such as MLflow or Weights & Biases and CI/CD for ML (e.g., Azure ML, SageMaker pipelines).
Bachelor’s degree in Engineering (B.E/B.Tech) or equivalent technical degree.
Experienced in designing and fine-tuning foundation Generative AI models and building production-ready AI applications on cloud environments.
Hands-on practictioner familiar with orchestration frameworks (LangChain), ML operations, and API integration for enterprise solutions.
Strong background in deploying and maintaining ML models with an emphasis on scalability, compliance, and iterative output improvement.