Sr AI Engineer

About this role

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

Senior Site Reliability Engineer (CI-CD/CTAP/Delivery team)

Okta

In OfficeBengaluru

Apply

Software Engineer - Kubernetes (K8s) Go (Golang) Python Microservices Linux / Containers Distributed Systems CI/CD , AI-assisted development - 4 to 8 years

Cisco

In OfficeBengaluru

Apply

Senior Machine learning Engineer

Bosch Group

In OfficeBengaluru

Apply

Security Engineer 2

Jupiter

In OfficeBengaluru

Apply

Skills you'll use

Who can apply

• 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.

Perks & benefits

About Target

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