Data and AI Engineer

Iitjobs Inc.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Iitjobs Inc. in Bengaluru seeks a senior architect to translate business objectives into scalable ML/analytics architecture on AWS. You will design data pipelines, feature engineering, and model training workflows, and collaborate with data scientists and client teams.

The role emphasizes architecture governance, security, cost optimization, and reliable deployment practices, with ownership of non-functional requirements and key decisions.

Qualifications

• Translate business objectives into a target-state ML/analytics architecture.
• Define integration patterns, APIs, CI/CD, observability, resiliency, and disaster recovery.
• Establish guardrails for IAM, encryption, data access, auditability, and data lineage.
• Lead architecture reviews and provide technical direction to Data Scientists, ML Engineers, and client teams.

Responsibilities

• Translate business objectives and propensity-model use cases into a phased solution 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

AWS

Glue

Athena

Eventbridge

ETL/ELT

CI/CD

Git

Python

SQL

Containerization

Model Lifecycle Management

Job description

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