Fidelity Investments
Bangalore, Karnataka
ML Engineering
Posted 9 hours ago
Verified open on Oct 9, 2026 · posted today
The Purpose of Your Role
We are seeking an Engineering Manager to lead delivery of AI/ML-driven applications and platforms, including Java/Python-based systems with user interfaces and cloud-native deployments. This role is accountable for end-to-end delivery, spanning application development, machine learning platforms, and Generative AI solutions, with a strong emphasis on execution discipline, scalability, and reliability.
The Expertise We’re Looking For
The Skills that are Key to this role
The Value You Deliver
How Your Work Impacts the Organization
WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers, and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).
The Team
Fidelity's Workplace Investing (WI) Technology team designs, develops, implements, and supports WI’s suite of technology products on behalf of our customers. We are passionate about delivering innovative solutions that exceed our customer’s needs. We embrace diversity of thought and experience. Our team thrives with an unyielding dedication to innovation which promotes a culture of continuous improvement and significant product advancement. This is a fast-paced technology group that adopts modern technologies to build powerful tools and deliver an outstanding end user experience
Location: Bangalore
Shift timings: 11:00 am - 8:00pm
Not ready to apply?
Get new ML Engineering jobs in your inbox
Join 100+ AI professionals · Weekly, free, unsubscribe anytime
This role is classified as ML Engineering.
Preparing to interview? Read the ML Engineering interview guide.
$200k - $281k is the middle 50% of disclosed salaries, measured from 248 live ML Engineering postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.
Hiring for a role like this?
Reach AI professionals browsing the board - your listing goes live instantly.