Atlas Copco
Atlas Copco is seeking a Data Scientist with 5-7 years of experience to design, build, and deploy classical machine learning, deep learning, and Generative AI solutions. The role involves collaborating with business and engineering teams to translate operational challenges into AI/ML use cases, setting up CI/CD pipelines, and ensuring responsible and scalable deployment on Azure cloud infrastructure.
Atlas Copco is a world-leading provider of sustainable productivity solutions serving customers across the globe. The company offers innovative compressors, vacuum solutions, and air treatment systems, as well as construction equipment, power tools, and assembly systems. Atlas Copco operates across multiple industries with a focus on sustainable and efficient productivity.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Atlas Copco.
Atlas Copco didn’t post a salary, so this is our estimate from similar listings.
20% below the average for this role
AI Engineer (Azure OpenAI/Semantic Kernel) - Hybrid Lisbon/Porto (3 days/week office)
HumanIT Solutions
Engineer 2 - Machine Learning
Xfinity
AI Expert (Python) – Azure DevOps CI/CD
nutanix
Principal Applied Scientist United States Washington Redmond
Microsoft
Senior Data Scientist
Automatit
AI Agent Development & LLM Integration
HCL Group