Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
The company provides software engineering and digital transformation services, driving innovation in manufacturing through edge-cloud AI solutions that combine computer vision, traditional data science, Agentic AI, and digital twins.
задачи
Develop and deploy ML models for manufacturing use cases across edge-cloud platforms;
Apply computer vision, traditional data science, Agentic AI, and digital twin technologies to solve real-world manufacturing challenges;
Prototype and validate new solutions, transitioning them to scalable production systems;
Optimize models for real-time inference and performance in manufacturing environments;
Collaborate with cross-functional teams to translate business needs into AI-driven solutions;
Lead end-to-end model lifecycle, from research and experimentation through deployment and monitoring;
Ensure reliability, scalability, and maintainability of ML systems in production.
требования
5+ Years of proven experience as an ML Engineer or Data Scientist in edge/cloud environments;
At least 1 year of relevant leadership experience;
Expertise in computer vision and traditional data science techniques;
Proficiency in developing and deploying ML models on edge-cloud platforms;
Capability to optimize models for real-time inference and high-performance environments;
Competency to manage research, prototyping, and production activities end-to-end;
Upper-Intermediate (B2) level of English or higher;
Nice to have: familiarity with Agentic AI frameworks and approaches, background in digital twin technologies, understanding of manufacturing environments and industrial AI use cases.
.svg)
