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About the Role:

Grade Level (for internal use):

03

ML Engineering Manager- Kensho (S&P Global Acquired)

Who We Are-

Kensho is a 120-person AI and machine learning company within S&P Global. We provide ML and AI solutions centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking, structured document extraction, record linkage, text classification, and more. We are continuously expanding our portfolio and are looking for passionate people to help us build and deploy state-of-the-art models across a variety of domains!

About The Role

As our first Applied ML Engineering Manager of our Kensho India team, you will initially be hands on learning the ins and outs of our suite of AI-driven capabilities driving value across SPGI. Over time, you’ll build out a team responsible for building upon these suites of tools. As a manager, you would ensure the team is making measurable progress towards their goals, engaged & maintaining a healthy velocity, and you’ll provide technical insights and contributions to the team as well. As this team will be multidisciplinary in composition, the ideal candidate has a breadth of experience across traditional software engineering as well as machine learning, values continual learning, and takes pride in building and managing capabilities that have real user impact.

Responsibilities-

• Manage a dedicated full-stack team of engineers who build and maintain state-of-the-art capabilities that power Kensho’s AI Toolkit

• Ensure that the team builds production-ready modeling code that can be scaled out to large volume of data

• Apply creative thinking to solve complex modeling problems

• Collaborate with the product, go-to-market, and engineering leaders to understand the team’s strategic vision and the most promising problems to tackle

• Grow, mentor, coach and develop your team members both professionally and technically

• Partner with our talent acquisition team to grow the team

• Be hands-on to the extent that it makes sense for your team

• Partnering with data labeling team in Pakistan

Who You Are

• Have 9+ years of hands-on experience in applied machine learning, with a proven track record of successfully delivering machine learning solutions in real-world applications.

• Have 2+ years of management experience

• Have had success mentoring and/or building a team of engineers. We are looking for someone who can think long term about hiring and training

• Have had success partnering with a product manager and cross-functional colleagues

• Have excellent communication skills, with the ability to explain complex machine learning concepts to both technical and non-technical stakeholders.

• Have a deep understanding of modern ML application design, from problem framing to deployment and monitoring in production

• Are an innovation oriented person who can come up with out-of-the-box solutions

• Are a thoughtful and collaborative code reviewer and teammate

• Are highly organized and result-oriented

• Measure your professional success by your team’s success

Technologies We Use

• Technologies & Tools We Use:

• Traditional ML: SKLearn, XGBoost, LightGBM

• Deep Learning: HuggingFace, PyTorch, Transformers, GNNs, DGL, LangChain

• Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS

• EDA/Visualization: Pandas, Matplotlib, Jupyter, Weights & Biases

• Tools/Toolkits: DVC, NVIDIA NeMo, MosaicML, LabelBox

• Datastores: Postgres, OpenSearch, SQLite, S3

• Techniques: RAG, Prompt Engineering, Information Retrieval, Data Embedding

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

Diversity, Equity, and Inclusion at S&P Global:

At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.

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.

20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)

Job ID: 300088

Posted On: 2024-05-30

Location: Hyderabad, Telangana, India