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Hiring: Azure AI Engineer | Bangalore (Whitefield) | Hybrid
We're hiring an Azure AI Engineer for a permanent role based in Whitefield, Bangalore (Hybrid – 3 days/week).
Experience: 7–8 years (Please dont apply if you have less than 7 years experience)
Key Skills:
If you have hands-on expertise in building and deploying AI solutions on Azure and are looking for your next opportunity, I'd love to connect. Send your CV at [Confidential Information]
Job ID: 151247171
Skills:
Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring
Skills:
Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex
Skills:
Argo, MLops, Python, CrewAI, LangChain, Airflow, SFT, MLflow, AutoGen, LangGraph, Kubeflow, LoRA, QLoRA, LlamaIndex, RLHF
Skills:
containerization , Java, Bi Tools, Dimensional Modeling, Gcp, Azure, Python, AWS, RAG architecture, MCP servers, NLP frameworks, Go, cloud-native deployments, vector databases, context memory management, semantic graph technologies, graph RAG, chain-of-graph, observability, identity as core agentic AI features
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation
