Associate Director, ML Engineering

IN - GURGAON DLF OFFICE, India

S&P Global

We provide Essential Intelligence: a combination of the right data, connected technologies and experts to enable our customers to make decisions with conviction.

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About the Role:

Grade Level (for internal use):

12

The Team:

As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative.

What’s in it for you:

  • Be part of a global company and build solutions at enterprise scale
  • Lead and grow a technically strong ML engineering function
  • Collaborate on and solve high-complexity, high-impact problems
  • Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations)

Key Responsibilities:

  • Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming)
  • Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms
  • Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions
  • Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback
  • Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems
  • Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement
  • Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs

What We’re Looking For:

  • 8-12 years' professional software engineering experience with a strong MLOps focus
  • Expert in Python and Apache for large-scale data processing
  • Deep experience deploying and operating ML pipelines on AWS or GCP
  • Hands-on proficiency with container/orchestration tooling
  • Solid understanding of the full ML model lifecycle and CI/CD principles
  • Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow)
  • Strong OOP design patterns, Test-Driven Development, and enterprise system architecture
  • Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets
  • Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes
  • Excellent problem-solving, debugging, and performance-tuning abilities
  • Ability to communicate technical change clearly to non-technical audiences

Nice to have:

  • Redis, Celery, SQS and Lambda based event driven pipelines
  • Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale
  • Experience with Apache Avro and Apache
  • Familiarity with Java and/or .NET Core (C#)

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.


Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:
 

Integrity, Discovery, Partnership


At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.  Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

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IFTECH103.2 - Middle Management Tier II (EEO Job Group)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Anthropic Architecture Avro AWS Azure CI/CD Dataflow DevOps Engineering ETL GCP Generative AI Git GitHub Java Lambda Linux LLMs Machine Learning ML infrastructure MLOps Model training OOP OpenAI Pipelines Python SQL Streaming TDD

Perks/benefits: Career development Competitive pay Flex vacation Health care Transparency Wellness

Region: Asia/Pacific
Country: India

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