Senior Machine Learning Engineer (Computer Vision)

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. Utilizing LooprIQ Inspect, customers can automate defect detection in products, verify assembly of parts, and much more. We have developed a cutting-edge micro-service architecture that leverages the latest computer vision AI models in the backend to run inference on real-time video. Inference results are stored in a scalable middleware and presented through a user-friendly front-end, optimized for operators using the app in a factory setting. The data from the app is stored in a noSQL database, easily connectable to customers' ERP systems for analytics. We are seeking a highly skilled and motivated ML Engineer to join our AI team, playing a key role in the implementation and development of computer vision algorithms to power LooprIQ Inspect, addressing complex problems for our customers in manufacturing and aerospace sectors. This position also involves guiding the company's direction with innovative solutions beyond this application. If you are eager to work on these technologies and possess proven experience in developing and deploying production-grade computer vision and ML algorithms, we would love to connect with you. You will have end-to-end design, development, and delivery ownership of key components.

Please note: This role requires candidates to possess existing US Citizenship or Permanent Residence (Green Card).

Responsibilities:

• Design and train deep learning models for object detection, image segmentation, and classification tasks.
• Collaborate with cross-functional teams to understand project requirements and provide technical expertise in computer vision.
• Utilize Azure & ML Flow services to orchestrate complex computer vision pipelines for large-scale data processing, managing, and reproducing experiments/models.
• Integrate computer vision models into production applications using Python and relevant technologies.
• Optimize models for performance, efficiency, and accuracy across various hardware platforms, including server and edge deployments.
• Stay updated on advancements in computer vision and machine learning to enhance the company's capabilities.
• Engage with clients and stakeholders to understand their needs, propose solutions, and deliver satisfactory results.

Minimum Requirements:

• Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or a related field.
• 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio.
• Proficiency in Python and experience with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch).
• Strong understanding of computer vision concepts such as image classification, object detection, segmentation, and feature extraction.
• Experience with cloud platforms, especially Azure, for deploying and scaling models.
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) for model deployment.
• Strong problem-solving skills for challenging computer vision tasks while selecting the appropriate tools.
• Self-driven with the ability to innovate and bring new ideas to the company.
• Excellent communication skills and ability to collaborate effectively with teams and clients.

Joining Loopr AI provides an exciting opportunity to work with a dynamic team at the forefront of computer vision technology. You will have the chance to contribute to cutting-edge projects, collaborate with industry experts, and make a significant impact in solving real-world challenges using advanced computer vision techniques.