Data and AI Engineer

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, environment 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