UPS Research Scientist (MLOps) in Atlanta, Georgia
Research Scientist (MLOps)
We’re the obstacle overcomers. The problem get-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers.
The Robotics AI Lab (RAIL) at the UPS Advanced Technology Group (ATG) conducts cutting-edge research and development to build novel machine learning and cloud deployment solutions for UPS. UPS ATG is searching for a research scientist, who has a research/engineering background with advanced degrees and expertise in machine learning and cloud-based development/deployment. Project areas include machine vision, advanced robotics and robotics/automation. We are looking for individuals who enjoy solving challenging problems and are passionate about machine learning research and cloud deployment in production environments.
Responsibilities and Duties
Containerized/deploy a large-scale computer vision/machine learning models in a cloud environment (Google Cloud, Azure, and others)
Develop/deploy/validate new approaches to solve open-ended machine learning problems
Collaborate with other teams to create a new idea, design a new system, and develop/test its performance
Create interfaces, infrastructure, and clusters to process data efficiently.
Develop a life cycle ML environment with logging, monitoring, visualizing, and health monitoring.
Interact and communicate effectively across business units and to different levels of management
Basic knowledge about ML and DL pipelines (Pytorch, Tensorflow, Keras, and others)
At least 2 years of relevant work experience with ML pipelines and deploying ML models in production environments.
At least 1 years working with containerization method (Docker) and cloud infrastructure providers
At least 1 year experience maintaining production environments and services
Advanced experiences in cloud-based development and integration, especially Google cloud (Vertex AI, Kubernetes and Big Query)
Ability to implement research ideas on a machine learning platform
Familiarity with cutting-edge method in DevOps and machine learning
Comfortable with Linux OS
Good communication skills in presentation
Bachelor's degree in Computer Science or related discipline, or the education and work experience
This position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone.
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law
Company: UNITED PARCEL SERVICE
Category: Information Systems
Requisition Number: 302647