Artificial Intelligence Engineer
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Key Responsibilities • Experience 8+ years - Bangalore(Hybrid)
Roles and Responsibilities:
The Senior AI/ML Engineer will join a vibrant team of Data Scientist and ML Engineer team working within the Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Senior AI/ML Engineer will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. They will also be accountable for adhering to quality standards for producing digital solutions.
Key Characteristics
Work within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to use cases
Build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools etc.
Build and automate AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization
Work closely with Infrastructure, data engineering and DevOp teams to increase deployment velocity, including the process for deploying models and data pipelines into production
Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures
Keep abreast of new engineering practices, technologies and continuously improving our Agile practices
Contribute to community building initiatives like CoE, CoP.
Mandatory skills:
Python
FastAPI
Node.js / TypeScript
Chainlit
Azure AI Foundry
Databricks (Genie/Mosaic AI)
RAG & Agentic AI
LangChain/LangGraph
Azure Cloud - App Service / Container Apps, API Management, Networking
CI/CD (GitHub Actions/Azure DevOps)
E2E Solution design / delivery of ML app. - Master
Cloud deployment - Master
Experienced in MLOps, Auto ML, distributed computing - Master
Data Engineering - Master
Data Science and Machine Learning methods - Skill
Enterprise compliance - Skill
Azure, AWS, Python, JS, Kubernetes, Kubeflow - Skill
Job ID: 152912059
Skills:
Cloud Infrastructure, Production-grade agentic AI system design and development, AI Observability Monitoring, Infrastructure as Code, LLMOps, AI Governance Lifecycle Management, Knowledge graph integrations, Cloud-Native Infrastructure Deployment, AI Platform Engineering, Retrieval-Augmented Generation, Foundation Models, Agent orchestration frameworks, Agentic AI, Multi-Agent Systems, RAG Knowledge Systems, Agent memory and planning strategies, AI Cost Management, Embedding strategies, Tool integration and MCP server design
Skills:
Machine Learning, Rest Apis, Python, LangChain, Generative AI, Pinecone, Agentic AI Frameworks, Retrieval-Augmented Generation, Vector Databases, FAISS, ChromaDB, Weaviate, LlamaIndex, Prompt Engineering, Large Language Models
Skills:
Pytorch, Performance Tuning, Python, Cuda, Transformers, Optimization, deep learning models, quantization, ROCm, CNNs, ONNX
Skills:
Tensorflow, Pandas, Pytorch, Flask, Keras, FastAPI, Restful Apis, Python, LangChain, AI GenAI Agentic AI, Autogen, GitHub Copilot, OpenAI Assistants API, Langgraph, LlamaIndex
Skills:
AWS, Sql, FastAPI, Kubernetes, Python, Azure, Docker, Git
