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AI Deployment Engineer
Efovinity IncAI Deploy Engineer at Sunrise Robotics building and deploying end-to-end AI robotics applications. Collaborating across teams and enhancing systems in live manufacturing environments.
Tech Stack
Tools & technologiesDockerPythonPyTorchTensorflow
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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI Model TrainingApplication DeploymentAlgorithm MonitoringData Generation and CurationA/B TestingDeep Learning FrameworksComputer Vision FrameworksImaging Hardware ExperienceDockerRobotics Systems
Soft Skills
Problem-SolvingClear CommunicationCross-Functional Collaboration