Machine Learning Engineer

PL - GDANSK UL MARYNARKI POLSKIEJ 163, Poland

S&P Global

We provide Essential Intelligence: a combination of the right data, connected technologies and experts to enable our customers to make decisions with conviction.

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About the Role:

Grade Level (for internal use):

09

The Team: 

Every day brings CARFAX Europe closer to the goal of realizing our vision of a fair and transparent used car market for all people in Europe. CARFAX Europe is active in many European countries including Poland where we have been helping to protect consumers since early 2019.  

This challenge is huge, and that's why we need colleagues like you who are among the best in their fields. We define this not only by professional success, but also by your personal attitude, your individual skills and how well you fit into the team. 

 
In Team CARFAX you will meet more than 100 colleagues from over 20 nations. Besides their headquarters in the heart of Munich, team CARFAX is spread all over Europe, from Sweden to Poland to Italy, Spain and the Netherlands. When selecting new colleagues, we always stay true to our motto "no jerks allowed". Regular CARFAX events help you to quickly find your way around internally. 
 
Responsibilities and Impact: 

  • Implement a service to provide machine learning models developed by our 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. 

What We’re Looking For: 

 

Basic Required Qualifications: 

  • 2-3 years of hands-on experience building and deploying machine learning models in a production environment, including experience with ML Ops pipelines.  

  • Experience with Gitlab and Gitlab CI on AWS and Kuberneties.  

  • Experience with Tensorflow and Sagemaker.  

  • Fluency in English (written and spoken), and excellent communication, collaboration, and problem-solving skills.  

  

Additional Preferred Qualifications: 

  • 5+ years of professional software engineering experience.  

  • Strong proficiency in Python.  

 

About S&P Global Mobility

At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.

For more information, visit www.spglobal.com/mobility.

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 world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.


Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:
 

Integrity, Discovery, Partnership


At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Inclusive Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

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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.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.  Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Engineering GitLab Machine Learning ML models Pipelines Python SageMaker TensorFlow Testing

Perks/benefits: Career development Competitive pay Flex vacation Health care Team events Transparency Wellness

Region: Europe
Country: Poland

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