Artificial Intelligence Engineer

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