Sr AI Engineer-Item Science

Target is hiring a Sr AI Engineer-Item Science in Bangalore.

Responsibilities

• Build production-grade AI/ML applications and services using Python, following software engineering best practices for clean code, testing, documentation, reliability, and maintainability.

• Design and develop scalable data and ML pipelines for batch and real-time processing using Kafka, distributed processing frameworks, and workflow orchestration tools.

• Implement end-to-end model training, evaluation, deployment, and inference workflows that can scale across large datasets and enterprise workloads.

• Build and deploy REST APIs, microservices, and event-driven integrations to expose AI/ML capabilities to downstream applications and business workflows.

• Work with SQL and NoSQL databases to store, retrieve, transform, and manage structured and unstructured data for AI/ML use cases.

• Support production deployment and lifecycle management through CI/CD, containerization, model versioning, automated validation, and release processes.

• Implement observability and reliability mechanisms, including logging, monitoring, alerting, error handling, and root-cause analysis for production AI systems.

• Optimize model services for latency, throughput, cost, scalability, and operational performance.

• Collaborate with Data Scientists to convert prototypes, notebooks, and experimental models into reliable, maintainable, and scalable production solutions.

• Evaluate and integrate GenAI / LLM components, including prompt workflows, RAG pipelines, evaluators, guardrails, and orchestration patterns where applicable.

Requirements

• Proven experience building and deploying end-to-end AI/ML pipelines, including:

• Data preparation and feature engineering

• Model training and evaluation

• Model deployment and inferencing

• Production monitoring and lifecycle management

• Strong hands-on experience with MLOps practices and tools, including CI/CD for ML, model versioning, automated retraining, and production deployment.

Preferred qualifications

• Experience building applications using Generative AI (LLMs), including prompt engineering, RAG architectures, evaluation frameworks, and model orchestration.

• Exposure to Agentic AI systems, including multi-agent workflows, planning, tool usage, orchestration frameworks, and autonomous decision-making patterns.

• Experience implementing LLM observability, evaluation, and guardrails for production GenAI systems.

• Experience building reusable AI platforms or shared ML services used across multiple teams.

-

• Experience designing and operating scalable inference systems capable of supporting production workloads.

• Good understanding of observability and reliability for ML systems, including monitoring, alerting, performance tracking, debugging, and root-cause analysis.

• Strong software engineering fundamentals, including Python development, testing, code reviews, error handling, and production-quality coding practices.

• Experience working with cloud-based ML platforms and modern ML frameworks.

Know More About us here:

Life at Target- https://india.target.com/

Benefits & perks

Culture- https://india.target.com/life-at-target/belonging

About Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At