Join our team as a Data Vision Engineer, where you will leverage computer vision techniques and intelligent automation to design and develop advanced track and trace systems.

You will work with autonomous robots and cobots to enhance palletization efficiency. Apply now to contribute to innovative robotics and AI projects that transform logistics operations.

 

Responsibilities

• Design computer vision solutions for object detection using models like YOLO and RCNN
• Develop and deploy machine learning models in cloud environments
• Implement robotic process automation and intelligent automation workflows
• Collaborate with cross-functional teams to integrate autonomous robots and cobots
• Optimize palletization processes using automation technologies
• Maintain and improve existing ML model deployments using Docker and related tools
• Analyze system performance and troubleshoot technical issues
• Document development processes and provide technical support
• Stay updated with the latest advancements in computer vision and automation technologies

 

Requirements

• Experience of 2+ years in machine learning engineering with a focus on computer vision
• Proficiency in Python programming language
• Experience in deploying ML models using Docker or similar containerization tools
• Knowledge of cloud platforms, preferably Microsoft Azure
• Strong understanding of object detection algorithms such as YOLO and RCNN
• Ability to work collaboratively in a team environment
• Good problem-solving skills and attention to detail
• Upper-Intermediate level of English (B2+)

 

Nice to have

• Experience with robotic process automation and intelligent automation tools
• Familiarity with autonomous robots and collaborative robots (cobots)
• Knowledge of palletization processes and logistics automation
• Certification in Microsoft Azure

 

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn