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Tier-1 brand, mid-level GenAI role, Bangalore metro location, and broad mandatory skillset increase competition.
Role requires specialized GenAI and MLOps expertise, but core ML skills remain transferable across industries.
Explicit 4–7 years and extensive mandatory GenAI, ML, cloud, and MLOps skill requirements.
Design, develop, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Build intelligent applications and orchestrate AI model workflows integrating GenAI capabilities into enterprise systems.
Collaborate with data engineering and MLOps teams to productionize models on cloud platforms (Azure, AWS, GCP) ensuring scalability, robustness, and compliance.
4 to 7 years of work experience in relevant AI development roles.
Proficiency in Python, PyTorch, Hugging Face Transformers, and orchestration frameworks like LangChain.
Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP with knowledge of ML pipelines and CI/CD tools (MLflow, Weights & Biases, Azure ML, SageMaker pipelines).
Bachelor of Technology degree (B.E./B.Tech/M.Tech/MCA).
Experienced in fine-tuning and customizing foundation AI models using domain-specific datasets and prompt engineering.
Skilled in integrating GenAI into enterprise applications via APIs (FastAPI, Flask) and managing ML pipelines collaboratively with data and operations teams.
Familiar with orchestration frameworks, agentic AI implementation, and cloud AI platforms like Azure AI Foundry or GCP Vertex along with monitoring and improving model performance.