HRXconnect is hiring for a client who is an award-winning industry leader in rapid testing technology based on a sensor and Artificial Intelligence platform. their cutting-edge sensing devices detect quality characteristics in food and agricultural products. Their software applications enhance the usability of our devices and provide valuable insights to address specific customer needs. Client is disrupting the way food companies make critical business decisions by providing novel, predictive metrics. Their technology helps reduce food waste, creating economic, social, and environmental benefits. Our applications are trusted by leading multinational food companies.
Summary:
We are seeking a highly experienced SVP AI to join our dynamic team. In this role, you will play a key part in developing and deploying cutting-edge computer vision models for food and agriculture quality check/quality assurance. Your responsibilities will include optimizing and deploying models on various platforms, exploring and analysing image data, designing and implementing advanced algorithms, and collaborating with cross-disciplinary teams. A strong background in computer vision, MLOps, and proficiency in Python, TensorFlow, Keras, PyTorch, and OpenCV is required. If you have a passion for tackling real-world problems using innovative techniques, we would love to hear from you.
WHAT DOES THIS JOB ENTAIL?
• Develop the next generation of industrial solutions for food and agriculture quality check/quality assurance using computer vision techniques.
• Collaborate with our world-class team of hardware and software engineers and business teams to deploy innovative solutions.
• Deploy commercially viable solutions for renowned customers.
• Improve our industry-leading results and guide future products to production.
• Document your work in a structured manner, emphasizing knowledge sharing.
• Take a leadership role in coaching staff.
• Work in an iterative PDCA style on relatively short development cycles.
WHAT EXACTLY WOULD YOU BE DOING?
As a key member of our small and versatile team, you will:
• Develop and deploy computer vision models on mobile or static edge devices and AWS, optimizing them to meet customer requirements and allowing for future improvements.
• Explore and analyze unstructured data, specifically images, through image processing techniques.
• Design, develop, test, and deploy advanced transfer and inference engine techniques and algorithms to enable quick deployment of AI models.
• Build reinforcement learning models to facilitate continuous learning in production environments.
• Employ innovative problem-solving strategies post-inference of neural networks.
• Design and implement object fusion and sensor fusion algorithms using AI methods, integrating and performing perception tests.
• Conduct research and development, exploring newer and better neural networks, such as the VID network, and implementing them in production.
• Collaborate with cross-disciplinary software and hardware engineers to integrate your algorithms into resource-constrained computational systems.
• Test and debug your code and features to ensure quality and usability.
• Assist the customer support team by addressing technical questions to provide the best user experience.
• Make significant contributions to client's important product development goals.
• Collaborate with the business team to define user requirement details and provide input on feasibility and difficulty estimation.
WHAT EDUCATION AND EXPERIENCE ARE REQUIRED FOR THIS ROLE?
• Bachelor's, Master's, or PhD in Computer Science, Engineering, or related fields OR an impressive portfolio of computer vision work.
• 10+ years of experience in computer vision.
• Familiarity with camera sensors and lens optics, including relevant equations.
• Strong MLOps experience.
• In-depth knowledge of Python, TensorFlow, Keras, PyTorch, and OpenCV.
• Experience with Docker, Bash, and Git.
• Proficiency in data structures and algorithms in Python.
• Ability to transform research articles into practical solutions to solve real-world problems.
• Proficient in state-of-the-art object detection algorithms.
• Previous experience in building commercially deployed computer vision systems.
• Comfortable with Linux development environment.
• Strong engineering test and debug skills as well as version controlling skills for complex real-time systems.
• Ability and desire to develop
Job Type: Full-time
Salary: $100,000.00-$150,000.00 per year
Application question(s):
• Can you describe your experience in developing computer vision models for industrial applications?
• Have you worked on optimizing computer vision models to meet customer requirements and improve them based on additional customer needs?
• Can you discuss your experience in analyzing unstructured data, particularly in image processing?
• Have you developed and deployed advanced transfer and inference engine techniques and algorithms for quick deployment of AI models?
Experience:
• Machine learning: 3 years (preferred
