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 current 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 method