GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

S&P Global, Inc.; Tallahassee (FL); Remote; USD 108,000 - 215,000; Full time

Job summary

An established industry player is on the lookout for a Lead/Associate Director of ML & MLOps Engineering to spearhead the development of innovative generative AI solutions. This pivotal role involves leading engineering activities for production-grade AI services, ensuring seamless deployment and management of machine learning models. You'll collaborate with a world-class team, driving S&P Global's AI transformation while contributing to cutting-edge projects that enhance risk management. If you're passionate about machine learning and ready to take your career to the next level, this is the opportunity you've been waiting for!

Benefits

Health care coverage

Generous time off

Access to learning resources

Retirement planning

Family friendly perks

Retail discounts

Referral incentive awards

Qualifications

• 8+ years of experience in machine learning and data analytics.
• 5 years of experience with scalable code in Python or Scala.

Responsibilities

• Lead ML Engineering to architect and deploy GenAI services.
• Collaborate with teams to integrate ML models into production.

Skills

Machine Learning

Data Analytics

Python

MLOps

Big Data

Distributed Systems

Education

Bachelor's degree in Computer Science

Master's degree (preferred)

Tools

Elasticsearch

SQL

NoSQL

Apache Airflow

Apache Spark

Kafka

Databricks

MLflow

Kubernetes

SageMaker

Job description

About the Role:

Grade Level (for internal use): 11

We are seeking a Lead/Associate Director of ML & MLOps Engineering - GenAI to join our ML team within the Data Science COE at S&P Global focusing on building Generative AI solutions.

You will lead the engineering activities for building production grade generative AI solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team:

You will work closely in a world-class AI ML team comprised of experts in AI ML modeling, ML & LLMOps engineers, 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/MLOps engineers to grow into the next step in their career journey.

Responsibilities and Impact:

• Lead ML Engineering to architect, build, and deploy production grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, orchestration services, and more.
• Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring, and maintaining models in production environments; with model governance, cost, and performance optimization.
• 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 the Enterprise AI platform.

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 $215,000. 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 in machine learning, data analytics, or similar roles.
• 5 years of relevant experience with:
• Writing 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.
• Experience with SageMaker and/or Vertex AI.

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.

S&P 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.

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 People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.

Our Values: Integrity, Discovery, Partnership.

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, 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.
• 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.

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.

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.

If you need an accommodation during the application process due to a disability, please send an email to: [e-mail].

US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law.