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Design and lead AI architecture building for scalable, enterprise-grade solutions leveraging GenAI and Agentic AI. Develop and implement LLM-based applications using the LangChain ecosystem, integrating with business workflows. Drive deployment and lifecycle management using cloud platforms (Azure/AWS) and MLOps practices, ensuring reliability, scalability, and performance. Align AI solutions with business needs and govern responsible AI usage.
Years of experience – 13-18 years
Shift Timing – 9AM to 5PM
Work Module – Hybrid
Location-Bangalore
Job ID: 151246887
Skills:
MLops, Docker, Flask, System Design, FastAPI, Kubernetes, Python, Api Development, Generative AI, Agentic AI
Skills:
Azure Functions, Terraform, Cosmos DB, Azure Machine Learning, Azure DevOps, AI Content Safety, Azure API Management, Azure OpenAI, LangSmith, Azure AI Foundry, Semantic Kernel, LangGraph, AutoGen, GitHub Actions, Braintrust, NVIDIA NeMo, Ragas, Microsoft Fabric, Azure AI Search
Skills:
snowflake , Data Modelling, Adf, Data Warehousing, Informatica, Sql, Gcp, Databricks, Talend, Azure, Python, AWS, AI ML solutions, vector databases, Lang Graph, Lang Chain, Pinecone, AutoGen, ETL-ELT frameworks, FAISS, dbt, Glue
Skills:
Kafka, Tensorflow, REST, Gcp, Pytorch, Docker, Spark, Azure, Kubernetes, Python, AWS, Airflow, Scikit-learn, GRPC, prompt engineering, LLM fine-tuning, spaCy
Skills:
Streaming, Apis, Cloud Architecture, Serverless Computing, Containers, Data Warehouse, Microservices, Gcp, Azure, Kubernetes, AWS, Event-driven architecture, Compliance, Ai, Security, Governance, Customer 360, Agentic AI, Integration platforms, Lakehouse, Master Data Management