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TruistHead of AI Enablement
Senior technology leader responsible for AI and GenAI solutions across Wholesale Technology for Truist. Collaborating with business executives and engineering teams to drive measurable value through AI applications.
About the role
- 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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