Technical Trainer designing, developing, and delivering high - quality training programs for cloud adoption at Cloudforce. Collaborating with clients and stakeholders to optimize AI and cloud technologies.
About the role
- AI Delivery Engineer building and deploying AI applications for intelligent robotics. Connecting deployment with development while enhancing manufacturing with robotics solutions.
Responsibilities
- Implement end-to-end AI applications and deploy them to production on real-world and simulated robotic systems.
- Monitor, diagnose, and address issues in deployed AI applications (Docker, edge devices, etc.).
- Set up logging, observability, and alerting systems to track application health and behavior.
- Collaborate with other teams to integrate and deliver solutions.
- Generate and curate data to improve models and applications.
- Set-up and maintain perception hardware.
- Own technical delivery from application design to deployment and iterative improvement.
- Re-train, perform A/B testing, and re-deploy algorithms in production.
- Offer expert support to FDE team when issues arise.
Requirements
- A skilled and experienced computer vision or machine learning engineer with a professional background in 2D/3D Computer Vision and 2D/3D Deep Learning.
- A professional software engineer with implemented solutions for production grade systems for 2+ years.
- Extensive experience with Python.
- Familiarity with deep learning frameworks such as PyTorch and Tensorflow, computer vision frameworks such as OpenCV.
- Familiarity with model optimization, model conversion, model deployment for edge device compute.
- Experience with imaging hardware, such as industrial cameras, 3D cameras and stereo systems.
- Experience using MLOps systems - experiment tracking, data versioning and model serving on platforms such as MLFlow, W&B, CometML, ClearML.
- Product oriented mentality.
- Ability to break down complex problems into small sub problems and build efficient hierarchical solutions.
- Capacity to work with multidisciplinary and international teams and articulate problems and solutions clearly.
- Passion for robotics, automation, and intelligent systems.
Benefits
- Competitive compensation, including equity
- Flexible work environment that values innovation, learning, and excellence
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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