Machine Learning/AI Engineer

at  Abbott Laboratories

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.

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.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• 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 position works out of one of our Abbott locations (CA or IL) in the Digital Technology Services Organization.
We are looking for a savvy ML Engineer to help us build machine learning and artificial intelligence products. The ideal candidate has exceptional skills and experience in productionizing machine learning and AI models. This individual will be responsible for designing, architecting and developing machine learning and deep learning systems and platforms. They will be self-directed and comfortable supporting the ML Ops needs of data science & software engineering teams from multiple products. The right candidate will be excited by the prospect of applying ML Ops to support Abbott’s next generation of products and data initiatives through thought leadership and application.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in computer science or related field
• 5 years of leading design and architecture of new and existing machine learning systems
• 5 years of experience of professional software development
• Experience with natural language processing and generative AI

PREFERRED QUALIFICATIONS

• Graduate degree in Computer Science, Mathematics, or another quantitative field
• Experience in time series data, signal, image, and video processing
• Deep knowledge of math, probability, statistics, and algorithms
• Outstanding analytical and problem-solving skills
• Prior experience in the healthcare or other regulated industries
• Experience using the following software/tools:
• Unsupervised, semi-supervised and supervised learning methods
• Machine learning frameworks such as Keras, PyTorch, or Tensorflow
• Libraries such as numpy, scikit-learn, scipy and statsmodel
• Programming languages such as Python, NET Core and Java

Please refer the Job description for details