Sr AI Engineer

1072-28 Target India (Non-USA); Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Target in India, Bengaluru, is seeking a Sr AI Engineer in the Data Sciences team to build, deploy, and maintain AI/ML applications that automate and optimize core business workflows. You will work with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn well-defined and moderately ambiguous business problems into practical technical solutions.

You will contribute hands-on to the development of production-grade AI/ML/Engineering

Qualifications

• 4-year degree in a quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent experience.
• 5+ years of hands-on software engineering experience, including building or supporting production DS/ML systems.
• Experience building and scaling production ML/AI applications, including applied ML solutions, intelligent automation, and agentic systems.

Responsibilities

• Build, deploy, and maintain production-grade AI/ML applications and services.
• Write maintainable, well-tested code and APIs, and support deployment, monitoring, and production support.
• Collaborate with data scientists, engineers, product partners, platform teams, and security teams to translate business requirements into engineering solutions.
• Ensure AI systems are secure, reliable, and aligned with enterprise standards for infrastructure and data handling.

Skills

Python

ML/AI systems

APIs & services

MLOps

Cloud deployment (GCP)

Education

4-year degree in quantitative field

Tools

CI/CD

Containers

GCP tools

Job description

About Us

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.

About Target in India

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world‑class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 5,000 team members supporting the company’s global strategy and operations.

Pyramid Overview

A role with Target Data Science means the chance to help develop and manage state‑of‑the‑art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or ML/AI teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Supply Chain and Merchandizing rely on.

Role Overview

As a Sr AI Engineer in the Data Sciences team, you will help build, deploy, and maintain AI/ML applications that support automation, insights and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn well‑defined and moderately ambiguous business problems into practical technical solutions. In this role, you will contribute hands‑on to the development of production‑grade AI/ML/Engineering systems. You will write maintainable, well‑tested code, support model and framework integration, build API’s and services, develop data and application workflows, and contribute to deployment, monitoring, documentation, and production support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness. You will also partner with Senior, Lead, and Principal Engineers to evaluate technical options, identify implementation risks, resolve engineering roadblocks, and improve reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, agentic systems, and modern software engineering practices. A successful Senior AI Engineer will help deliver high‑quality ML/AI applications and serving systems that create measurable business value while contributing to the technical strength of the team. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About You

• 4‑year degree in a quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent experience.
• 5+ years of hands‑on software engineering experience, including building or supporting production DS/ML systems.
• Experience building and scaling production ML/AI applications, including applied ML solutions, intelligent automation, and agentic systems.
• Strong proficiency in Python, with hands‑on experience productionizing models and building APIs, services, data/model pipelines, batch or online inference, and retrieval/vector‑based systems.
• Experience with MLOps and production AI practices, including model evaluation, observability, CI/CD, containers, cloud deployment, reliability, and performance optimization. Experience with GCP is preferred.
• Strong understanding of system design and AI application architecture, including model/framework trade‑offs, experimentation, evaluation, scalability, latency, and production deployment considerations.
• Experience building maintainable, well‑tested production systems using sound software engineering practices, including version control, code reviews, documentation, monitoring, and production support.
• Ability to translate business and technical requirements into pragmatic engineering solutions, work independently on defined workstreams, and collaborate effectively with engineers, applied data scientists, product partners, and business stakeholders.
• Strong ownership, communication, and engineering judgment, with a collaborative mindset and a focus on delivering reliable AI systems that create measurable business value.
• Experience operating ML/AI systems at scale, including performance optimization, monitoring, experimentation, and production reliability. Exposure to LLM evaluation, retrieval quality, and agent observability is a plus.

Know More About Us

Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

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Our Benefits

We care about and invest in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well‑being and beyond at https://corporate.target.com/careers/benefits.