Sr. AI Engineer-Promo Optimisation

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Senior Machine learning Engineer

Bosch Group

In OfficeBengaluru

Apply

AI Data Engineering and Sr Cloud Specialist

Bosch Group

In OfficeBengaluru

Apply

Manager - AI Engineering

EXL

In OfficeBengaluru

Apply

Senior AI Developer

Sitero

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• As a Senior AI Engineer , you will help build and scale production-grade AI/ML capabilities that power Target’s promo optimization and personalized marketing ecosystem. You will partner closely with Data Scientists, Product Managers, Engineers, Analysts, and business stakeholders to turn AI ideas, models, and optimization strategies into reliable, scalable, secure, and high-performing production systems.
• This role is ideal for engineers who enjoy building at the intersection of AI, software engineering, data platforms, and MLOps. You will work hands-on with Python, distributed data pipelines, Kafka and event-driven architectures, APIs, databases, model deployment, ML workflow orchestration, observability, and production support. You will also explore and apply emerging AI technologies such as Generative AI, LLMs, RAG, AI agents, model evaluation frameworks, and intelligent workflow automation to solve real retail problems at scale.
• We are looking for someone with strong software engineering fundamentals, practical AI/ML deployment experience, and the ability to balance innovation with reliability, scalability, security, and maintainability. If you enjoy solving complex problems, building enterprise-grade AI platforms, and shaping the future of AI-powered retail decisioning, this is a great opportunity to make meaningful impact at Target.

Who can apply

• Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
• 4+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, MLOps, or production ML systems.
• Strong hands-on programming experience in Python, with the ability to write modular, maintainable, well-tested, production-quality code.
• Experience building and deploying end-to-end AI/ML pipelines, including data preparation, feature engineering, model training, model evaluation, model deployment, inference, monitoring, and lifecycle management.
• Strong understanding of MLOps practices, including CI/CD for ML, model versioning, experiment tracking, automated validation, model registry, retraining workflows, deployment automation, and production monitoring.
• Experience designing and operating scalable model inference systems, batch scoring pipelines, APIs, microservices, or event-driven ML integrations.
• Experience working with distributed data processing systems such as Spark, Hadoop/Hive, or equivalent large-scale data platforms.
• Experience with SQL and one or more database technologies, including relational databases, NoSQL databases, object stores, or feature stores.
• Strong software engineering fundamentals, including data structures, algorithms, system design, API design, testing, code reviews, error handling, debugging, and documentation.
• Working knowledge of machine learning concepts, model evaluation, feature engineering, model serving, and common ML frameworks.

Perks & benefits

About Target

Searching for “Target jobs” or “jobs at Target”? You’re in the right place.