About the Role:

Description

Key Responsibilities

- Translate business objectives and propensity-model use cases into a target-state solution architecture and phased implementation roadmap.
- Design AWS architecture for data ingestion, storage, transformation, feature engineering, model training, batch and real-time scoring, and consumption of outputs.
- Define integration patterns, APIs, workplace strategy, CI/CD approach, observability, resiliency, and disaster-recovery considerations.
- Establish architectural guardrails for IAM, encryption, networking, data access, auditability, lineage, and responsible model use.
- Guide technology selection and ensure designs meet performance, scalability, reliability, maintainability, and cost objectives.




- Lead design reviews and provide technical direction to Data Scientists, ML Engineers, Data Analysts, and client engineering teams.
- Own architecture documents, solution diagrams, interface specifications, non-functional requirements, and key technical decisions.
- Identify architecture risks, dependencies, assumptions, and mitigations, support issue resolution through build and deployment.

Skills To Be Evaluated On

AWS, Glue, Athena, Eventbridge, Etl / Elt, Ci/Cd, Git-ba, Python, SQL, Containerization, Model Lifecycle Management

📌 Data and AI Engineer (Bengaluru)
🏢 IITjobs
📍 Bengaluru