Machine Learning Engineer at S&P Global

Gdansk, Pomeranian Voivodeship, Poland

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

2-3 years of hands-on experience building and deploying machine learning models in a production environment
Experience with ML Ops pipelines
Experience with Gitlab and Gitlab CI on AWS and Kubernetes
Experience with Tensorflow and Sagemaker
5+ years of professional software engineering experience (preferred)
Strong proficiency in Python (preferred)

Responsibilities

Implement a service to provide machine learning models developed by data analysts for new product features
Build and maintain a robust ML Ops pipeline for continual training, quality testing, regression testing, and deployment of machine learning models
Provide expert guidance to data analysts and other team members on machine learning model selection, architecture, and best practices

Skills

ML Ops

GitLab

GitLab CI

AWS

Kubernetes

TensorFlow

SageMaker

Python

Machine Learning

Model Deployment

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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