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Strong employer brand, metro location, mid-level GenAI role and broad skill requirements drive high applicant competition.
Role requires specialized GenAI/ML skills making cross-industry transfers limited without ML background.
Explicit 4–7 years plus mandatory GenAI, PyTorch, cloud, and MLOps skills make screening highly selective.
Design, develop, and deploy scalable Generative AI solutions using LLMs and transformer architectures.
Build and orchestrate AI model workflows integrating GenAI capabilities into enterprise systems on cloud platforms (Azure, AWS, GCP).
Fine-tune foundation models, optimize prompt engineering, and ensure scalability, robustness, and compliance of AI models in production.
4 to 7 years of work experience.
Bachelor of Technology degree (B.E/B.Tech) or equivalent in relevant field.
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 AI platforms (Azure, AWS, GCP).
Experience in CI/CD for ML (e.g., Azure ML, SageMaker pipelines).
Deep expertise in Generative AI technologies and hands-on experience with multiple large language models such as OpenAI, Anthropic, or open-source LLaMA/Falcon.
Ability to collaborate with cross-functional teams including data engineers and MLOps to deploy production-ready AI solutions.
Practical experience in deploying enterprise-scale AI solutions with strong understanding of model evaluation, prompt engineering, and agentic AI implementation.