AI Deployment Engineer

Efovinity Inc

AI Deploy Engineer at Sunrise Robotics building and deploying end-to-end AI robotics applications. Collaborating across teams and enhancing systems in live manufacturing environments.

Posted 7/3/2026full-timeLjubljana • 🇸🇮 SloveniaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying AI vision and robotics applications, with strong proficiency in Python, deep learning frameworks, and computer vision technologies. Capable of monitoring and improving production systems while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

2D/3D Computer VisionDeep LearningPython ProgrammingMLOps PracticesROS or ROS2 Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Model TrainingApplication DeploymentAlgorithm MonitoringData Generation and CurationA/B TestingDeep Learning FrameworksComputer Vision FrameworksImaging Hardware ExperienceDockerRobotics Systems

Soft Skills

Problem-SolvingClear CommunicationCross-Functional Collaboration

Tools & Technologies

PyTorchTensorFlowOpenCVIndustrial Cameras3D CamerasStereo Systems

Industry Keywords

AI Vision ApplicationsRobotics ApplicationsProduction-Grade SystemsLogging and ObservabilityTechnical Delivery

Tech Stack

Tools & technologies

DockerPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Build and deploy end-to-end AI vision and robotics applications to production on real-world and simulated robotic systems.
Own technical delivery from application design through to deployment and iterative improvement.
Monitor, diagnose, and address issues in deployed AI and robotics applications.
Configure logging, observability, and alerting systems to track application health and behaviour in the field.
Monitor and re-train algorithms in production; perform A/B testing and re-deploy with confidence.
Generate and curate data to improve models and applications over time.
Work closely with engineering and AI teams to integrate components and deliver production-grade solutions.
Support our Forward Deploy Engineering team when technical issues require deeper investigation.

Requirements

What you’ll need

A strong background in 2D/3D computer vision and deep learning, with at least 2 years building solutions for production-grade systems.
Strong Python skills and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and computer vision frameworks such as OpenCV.
Experience training and deploying AI models, with familiarity with MLOps practices and Docker.
Experience with ROS or ROS2 and familiarity with robotics systems.
Experience with imaging hardware - industrial cameras, 3D cameras, or stereo systems.
The ability to break down complex problems into structured, efficient solutions and communicate them clearly across technical and non-technical teams.
Comfortable working with international, cross-functional teams and happy to travel regularly.

Benefits

Comp & perks

Production, not prototypes: Your applications will power robot cells running continuously at customer sites.
Shape the stack: What you learn in the field feeds directly back into how our platform evolves.
Cross-functional exposure: You'll work across AI, engineering, and Forward Deploy - with visibility into the full pipeline from model development to customer delivery.