We seek a skilled Computer Vision Engineer with expertise in PyTorch to develop AI solutions for real-time person detection and tracking on edge devices within the oil and gas production domain.
In this role, you will design and optimize computer vision models as a core component of a larger video processing pipeline, working closely with ML engineers responsible for the pipeline’s integration and performance.
Responsibilities
- Develop and optimize computer vision algorithms in PyTorch for person detection, tracking, and anomaly detection in real-time applications
- Utilize OpenCV for image processing tasks to enhance model performance and accuracy
- Collaborate with ML engineers on pipeline integration, ensuring seamless interaction between CV models and video processing components
- Continuously enhance model reliability, scalability, and resource efficiency on edge devices
Key qualifications
- MS/PhD in Computer Science, Electrical Engineering, or a related field
- Proven experience with PyTorch in real-time computer vision model development and optimization for edge devices
- Proficiency with OpenCV for image processing and computer vision tasks
Must-have skills
- Experience with C++
- Experience with GStreamer, or NVIDIA DeepStream for collaborative work within video processing environments
Nice-to-have skills
- Familiarity with AI applications in the energy industry or similar fields.
- C++ proficiency
- MS/PhD degree in Computer Science, Electrical Engineering, Machine Learning, or a related field
We offer:
- Innovative projects: engage in meaningful work, developing AI and computer vision solutions that address real-world challenges in safety and efficiency
- Growth opportunities: Benefit from continuous learning, professional development, and the chance to advance your expertise in the AI and computer vision space
- Collaborative environment: Join a team of dedicated professionals with a culture that encourages knowledge sharing, creative problem-solving, and a flexible approach to work
If you’re passionate about using cutting-edge technology to make an impact, we’d love to hear from you.