Overview
· Build and maintain scalable data pipelines and infrastructure for AI and analytics using cloud-native tools (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
· Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure OpenAI, or Google Vertex AI
· Develop and deploy AI/ML models including transformer-based and LLM (Large Language Model) solutions
· Integrate GenAI with enterprise workflows using APIs, orchestration layers, and retrieval-augmented generation (RAG) patterns
· Collaborate with data scientists, product managers, and platform teams to operationalize AI-driven insights and GenAI capabilities
· Build prompt engineering frameworks, evaluate output quality, and optimize token usage and latency for GenAI deployments
· Set up monitoring, drift detection, and governance mechanisms for both traditional and GenAI models
· Implement CI/CD pipelines for data and AI solutions with automated testing and rollback strategies
· Ensure cloud solutions adhere to data privacy, security, and regulatory compliance standards
Mandatory Skills: Cloud Computing , Artificial Intelligence , Python
Experience :6 to 10 Years
Job Types: Full-time, Permanent
Pay: ₹1,800,000.00 - ₹2,000,000.00 per year
Experience:
- Cloud AI and Data Engineer: 6 years (Required)
Work Location: In person
