Full-Time

GenAI ML/Mlops Engineering Lead

Confirmed live in the last 24 hours

S&P Global

S&P Global

10,001+ employees

Provides financial information and analytics services

Data & Analytics
Financial Services

Compensation Overview

$108k - $215kAnnually

+ Annual Incentive Plan

Senior, Expert

New York, NY, USA

In-office presence required at 55 Water St, NYC for 35 hours.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
NoSQL
Data Science
Apache Spark
SQL
Apache Kafka
Elasticsearch
Scala
Databricks
Data Analysis
Requirements
  • 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.
  • 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.
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 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.

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.

Company Stage

IPO

Total Funding

N/A

Headquarters

New York City, New York

Founded

1917

Growth & Insights
Headcount

6 month growth

15%

1 year growth

3%

2 year growth

15%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for ESG data boosts S&P Global's market opportunities.
  • Acquisition of Visible Alpha enhances S&P Capital IQ Pro's research capabilities.
  • India Research Chapter strengthens S&P Global's presence in the Indian market.

What critics are saying

  • Integration challenges from acquiring World Hydrogen Leaders may arise.
  • Competition from AI-driven platforms like Brooklyn Investment Group is increasing.
  • Novata's global expansion could challenge S&P Global's ESG market position.

What makes S&P Global unique

  • S&P Global offers comprehensive financial intelligence and analytics services worldwide.
  • The company provides unique ESG solutions, aligning with global sustainability trends.
  • S&P Global's diverse divisions cater to investors, corporations, and governments.

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