GenAI ML/MLOps Engineering Lead (Remote or Hybrid) at S&P Global

New York, New York, United States

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$108,000 – $215,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
8+ years of progressive experience in machine learning, data analytics, or a similar role
5+ years of relevant experience with writing production-level, scalable code with Python (or Scala)
5+ years of relevant experience with MLOps/LLMOps, machine learning engineering, Big Data, or a related role

Responsibilities

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 Enterprise AI platform

Skills

Key technologies and capabilities for this role

PythonScalaMLOpsLLMOpsBig DataSQLNoSQLmicroservicesdistributed systemsdata pipelinesGenAImachine learning engineering

Questions & Answers

Common questions about this position

What is the salary range for this position?

The anticipated base salary range is $108,000 - $215,000 for US candidates only, with final salary based on location, experience, skills, training, licenses, and certifications.

Is this role remote or hybrid, and what are the location requirements?

The job title indicates it is Remote or Hybrid, but specific location details are not specified in the job description.

What are the key skills and experience required for this role?

Candidates need a Bachelor’s degree in Computer Science or related field, 8+ years in machine learning or data analytics, and 5+ years with production-level scalable Python (or Scala) code and MLOps/LLMOps or related roles.

What is the team like at S&P Global for this role?

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, contributing to S&P’s AI-driven transformation.

What benefits are offered with this position?

The role is eligible for an annual incentive plan and additional S&P Global benefits.

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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