- Professional
- Ufficio in Maplewood
Job Description:
AI/ML Ops Engineer
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.
The Impact You’ll Make in this Role
As an AI/ML Ops Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
- Collaborate with cross-functional teams, including data scientists, data engineers, product managers, and Supply Chain SMEs to develop and implement AI/ML solutions which solve problems and surface insights
- Work on projects that span all aspects of supply chain operations and leverage machine learning, Generative AI, data mining, statistical, and/or other analytics strategies
- Create scalable, production-ready real-time and batch ML solutions, taking algorithms from initial concept through to deployed systems
- Optimize the performance and scalability of machine learning models
- Stay up-to-date on the latest advancements in the fields of machine learning and data science to ensure that we stay at the cutting edge of industry practices
- Build strong working relationships and communicate effectively with leaders and colleagues
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, or Engineering (Completed and verified prior to start) from an accredited institution
- Two (2) years of on-the-job experience deploying machine learning capabilities in a cloud-based environment, with a track record of delivering impactful results in a private, public, government or military environment
- One (1) year of experience in software design and development using Python or other languages such as Scala, Java, C++, or C#
Additional qualifications that could help you succeed even further in this role include:
- Master’s degree or higher in Computer Science, Data Science, Statistics, or related field
- Experience in the architecture, design, and building large-scale machine learning applications in the cloud, preferably in AWS
- Familiarity with automated code and model deployment practices and tools
- Hands-on experience with machine learning algorithms and frameworks
- Expertise in one or more of the following applied fields: Transformers, Large Language Models, LLM evaluation, Knowledge Graphs
- Strong collaboration skills, including working with cross functional teams and a track record of educating and learning from coworkers
- Great interpersonal skills, including strong written and verbal communication
Work location: This role follows an on-site working model, requiring the employee to work at least four days a week at the 3M Center in Maplewood, MN.
Travel: May include up to 10% domestic/international
Relocation: May be authorized
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
Chat with Max
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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