Become a key member of our team as a Senior Data Vision Engineer , where you will apply advanced computer vision and intelligent automation techniques to build cutting‑edge track and trace systems.
You will collaborate with autonomous robots and cobots to improve palletization efficiency and drive innovative AI and robotics solutions in logistics. We encourage you to apply and help shape the future of automated logistics operations.
Responsibilities
- Design computer vision applications for object detection using algorithms like YOLO and RCNN
- Develop and deploy machine learning models within cloud environments
- Implement intelligent automation workflows and robotic process automation
- Collaborate with multidisciplinary teams to integrate autonomous robots and cobots
- Enhance palletization efficiency through automation technologies
- Maintain and update existing ML model deployments using Docker and similar tools
- Evaluate system performance and resolve technical challenges
- Document development workflows and provide ongoing technical support
- Keep abreast of new advancements in computer vision and automation technologies
Requirements
Minimum 3 years of experience in machine learning engineering focused on computer visionProficient in Python programming languageExperience deploying ML models with Docker or comparable containerization technologiesKnowledge of cloud platforms, especially Microsoft AzureStrong grasp of object detection algorithms including YOLO and RCNNAbility to work effectively within a team environmentExcellent problem‑solving capabilities and attention to detailEnglish language proficiency at upper‑intermediate level (B2+)Nice to have
Experience with robotic process automation and intelligent automation platformsFamiliarity with autonomous and collaborative robots (cobots)Understanding of palletization workflows and logistics automationWe offer
International projects with top brandsWork with global teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward‑winning culture recognized by Glassdoor, Newsweek and LinkedInLocation
Santiago, Santiago Metropolitan Region, Chile
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