Staff ML Operations Engineer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year

• An excellent retirement savings plan with high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

This Staff ML Operations Engineer position can work out remotely within the U.S.

The Staff ML Operations Engineer will be responsible for building machine learning and artificial intelligence products and has exceptional skills and experience in productionizing machine learning and AI models.  

 

Staff ML Operations Engineer will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems. As a senior member of the Data Engineering & Analytics team, you will be building machine learning and artificial intelligence products to uncover customer, product and operational insights.  

 

The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include being a self-starter, versatility, and a desire to continuously learn, improve, and empower other team members. The candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.  

 

 

What You’ll Work On

• Design, architect, and develop machine learning and deep learning systems and platforms.  

• Support the AI Ops needs of data science & software engineering teams from multiple products 

• Customize large language models for product applications, and knowledgeable in natural language processing and generative AI 

• Lead design and coding of big data and machine learning systems 

• Collaborate with product stakeholders to ideate and prove viability of machine learning use cases 

• Translate business needs and goals into an AI approach and solution, and articulate findings to a non-technical audience 

• Effective advanced analytics and AI skills with a foundation in programming (e.g. R, python), dat