Job Description
Job DescriptionWe are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.
Responsibilities:
• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.
• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.
• Build supervised and unsupervised learning models tailored to production environments.
• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.
• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.
• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.
• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.
• Conduct testing and validation of models to ensure reliability in real-world applications.
• Utilize Python for scripting and automation tasks related to data processing and model deployment.
• Participate in quarterly onsite meetings to align with project goals and team objectives.• At least 3 years of experience in computer vision and AI development.
• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Hands-on experience with object detection and template matching techniques.
• Familiarity with cloud technologies, including AWS services such as EC2 and S3.
• Ability to build production-ready code environments and deploy models effectively.
• Strong understanding of supervised and unsupervised learning methodologies.
• Previous experience analyzing camera feeds for defect detection or process tracking.
• Solid problem-solving skills and ability to work collaboratively in a team-oriented setting.