Information Technology
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Codvo.ai
Overview
Job Description: Senior Computer Vision Machine Learning Engineer
About Us
At Codvo, software and people transformations go together. We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering. We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do.
Job Overview
We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment.
Responsibilities
- Lead the design, development, and deployment of end-to-end computer vision and deep learning models
- Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred)
- Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection)
- Develop and maintain datasets, perform data augmentation, and ensure quality training inputs
- Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration
- Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
- Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
- 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis)
- Proficiency in Python, C++, TensorFlow, PyTorch
- Strong understanding of model optimization techniques for edge deployment
- Hands-on experience with NVIDIA platforms – IGX, Jetson, or Xavier (IGX Orin highly preferred)
- Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
- Solid knowledge of vision tasks: object detection, tracking, classification, segmentation
- Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)
Preferred Qualifications
- Experience in industrial AI, medical imaging, or robotics
- Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments
- Familiarity with ONNX, OpenCV, ROS, or GStreamer
What We Offer
- Opportunity to work on cutting-edge AI/edge technology with real-world impact
- Collaborative and fast-paced engineering culture
- Flexible working hours and remote work options
- Competitive salary and benefits package
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