Search jobs > New York, NY > Remote > Machine learning engineer

Lead Generative AI Machine Learning Engineer - Remote (NBMBAA Conference)

S&P Global
New York, NY, US
$108K-$210K a year
Remote
Full-time

About the Role

We are seeking a Lead ML Engineer to join our ML team within the Data Science COE at S&P Global. As a Lead ML Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines.

You will work with a peer group of ML engineers to develop ML modules and end-to-end engineering solutions.

In this role, you will play a pivotal role in implementing our machine learning engineering operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team :

You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams.

You will contribute to engineering and developing solutions for ML operations and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers.

S&P is a leader in automation and AI / ML to transform risk management. This role is a unique opportunity for ML / LLMops engineers to grow into the next step in their career journey.

Responsibilities and Impact :

  • Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end.
  • Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Create and manage Documentation and knowledge base, including development best practices, MLOps / LLMOps processes and procedures.
  • Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.
  • Fine Tune and Optimize Models : Adjust and refine generative AI models to enhance performance, adapt to new data, or meet specific use case requirements.

Compensation / Benefits Information : (This section is only applicable to US candidates)

S&P Global states that the anticipated base salary range for this position is $108,000 to $210,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For :

Basic Required Qualifications :

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of progressive experience as a data analytics, machine learning engineer or similar roles.
  • A minimum of 5 years of experience in data science, data analytics, or related field.
  • 5 years of relevant experience withWriting production level, scalable code with Python (or scala)MLOps / LLMOps, machine learning engineering, Big Data, or a related role.

Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.Containerization, Kubernetes, cloud platforms, CI / CD and workflow orchestration tools.

Distributed systems programming, AI / ML solutions architecture, Microservices architecture experience.

Additional Preferred Qualifications :

  • 2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions
  • Experience with contributing to open-source initiatives or in research projects and / or participation in Kaggle competitions
  • 6-12 months of experience working with RAG pipelines, prompt engineering and / or Generative AI use cases.

Return to Work :

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction.

By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and Global Ratings is a division of S&P Global (NYSE : SPGI).

S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.

With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit 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 : 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.

S&P Global has a Securities Disclosure and Trading Policy ( the Policy ) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading.

The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings.

Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest.

Employment at S&P Global is contingent upon compliance with the Policy.

30+ days ago
Related jobs
Promoted
Ernst & Young
New York, New York

AI/Machine Learning Engineer, Manager Consultant. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. Bachelor's degree and 6-10 years of full-time ...

Promoted
Capital One
Brooklyn, New York

Center 3 (19075), United States of America, McLean, VirginiaLead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Basic Qualifications:Bachelor’s degree At least...

Promoted
2Bridge Partners
New York, New York

Modern machine learning algorithms (e. Machine Learning Software such as. Ability to mentor and grow a group of other Software Engineers. Ability to lead projects with several cross-org dependencies and design complexities. ...

Promoted
Capital One
New York, New York

West 19th Street (22008), United States of America, New York, New YorkSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning ar...

Capital One
Willowbrook, New York

Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectura...

Promoted
Capital One
Bergen Beach, New York

West 19th Street (22008), United States of America, New York, New YorkSenior Machine Learning Engineer (Python, MLOPS, CI/CD)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus...

Capital One
New York, New York

New York City (Hybrid On-Site): $201,400 - $229,900 for Lead AI EngineerSan Francisco and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for Lead AI EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualiz...

Capital One
New York, New York

We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $...

Capital One
Bronx, New York

West 19th Street (22008), United States of America, New York, New YorkSenior Machine Learning Engineer (Python, MLOPS, CI/CD)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus...

LinkedIn
New York, New York

Basic Qualifications:● BA/BS in Computer Science or other technical discipline, or related practical technical experience● 7+ years of related industry experience5+ year of experience machine learning, data mining, and information retrieval or natural language processing3+ years of experience in sof...