Lead Machine Learning Engineer

Job Description

**About the Role:**  

**Grade Level (for internal use):**  

**About the Role:**  

**The Team:**  

**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 no-SQL 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 Enterprise AI platform.

**Compensation/Benefits Information:**  

**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 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:**  

**About S\&P Global Ratings**  

**What's In It For** **You?**  

**Our Purpose:**  

**Our People:**  

**Our Values:**  

**Integrity, Discovery, Partnership**  

**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, 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.

**Global Hiring and Opportunity at S\&P Global:**  

**Equal Opportunity Employer**  

**US Candidates Only:**  

**Job ID:**  

**Posted On:**  

**Location:**