S&P Global

Machine Learning Engineering Manager

S&P Global

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • India

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Job Level

SeniorLead

About the role

  • Lead and Grow a High-Performing ML Team: Manage, mentor, and develop a team of ML Engineers and Applied ML Scientists, ensuring they are engaged, supported, and set up for long-term success.
  • Drive ML Strategy and Execution: Define technical direction, set priorities, and guide the team in building models, retrieval agents, and ML systems that power Kensho’s GenAI platform and AI toolkits such as Link and NERD.
  • Deliver Production-Grade ML Systems: Ensure the team follows best practices for building robust, scalable, and maintainable ML solutions, including data pipelines, training workflows, retrieval systems, and model deployment.
  • Advance Retrieval-Driven AI Agents: Oversee the development and evaluation of LLM-powered agents and grounded retrieval systems that use trusted S&P datasets to produce accurate, verifiable results.
  • Shape Product and ML Roadmaps: Collaborate closely with Product Management and cross-functional leaders to identify opportunities, define problem statements, and align ML initiatives with business objectives.
  • Promote Engineering Excellence: Establish strong engineering practices, maintain high code quality, and foster a culture of reliability, observability, and continuous improvement across ML systems.
  • Hire and Scale the Team: Partner with Talent Acquisition to attract, interview, and onboard exceptional ML engineering talent as the ML organization grows.
  • Stay Hands-On Where It Matters: Contribute technically in design reviews, code reviews, modeling decisions, and architecture discussions, while empowering the team to own implementation and execution.
  • Ensure Operational Stability: Oversee monitoring, debugging, and performance evaluation of ML systems in production, ensuring reliability and consistent service quality.
  • Foster Collaboration Across Kensho: Work with Backend, Infrastructure, Product, and Data teams to ensure ML systems integrate seamlessly into Kensho’s broader platform and applications.

Requirements

  • Have 7+ years of industry experience designing, building, evaluating, and maintaining robust and scalable production ML systems
  • Have 2+ years of experience managing ML engineering or applied ML teams
  • Have experience mentoring engineers and scientists, with a long-term mindset toward team development and hiring
  • Have partnered with product managers to define roadmaps, scope problems, and drive user-focused outcomes
  • Have a deep understanding of modern ML system design, including data processing, training, retrieval, evaluation, deployment, and production monitoring
  • Are comfortable leading technical decisions and guiding teams through complex modeling and system design trade-offs
  • Are an effective communicator who can translate between engineering, ML, product, and business stakeholders
  • Are innovation-minded and able to propose creative, practical solutions to ambiguous problems
  • Are a collaborative reviewer and a thoughtful teammate who values clarity, feedback, and shared ownership
  • Are highly organized, results-oriented, and capable of ensuring steady execution while supporting individual growth
  • Measure your success through your team’s success and impact.
Benefits
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningML systems designdata processingmodel deploymentproduction monitoringretrieval systemsLLM-powered agentsdata pipelinestraining workflowsmodel evaluation
Soft Skills
team managementmentoringeffective communicationcollaborationinnovation-mindedorganizational skillsresults-orientedproblem-solvingfeedbackshared ownership