Computer Vision Engineer

• 3+ years of experience in AI/ML development
• 3+ years experience applying AI, analytics, and computer vision solutions within manufacturing, automation, or operations
• 3+ years experience developing, training, and deploying computer vision models in production environments
• Strong experience with industrial machine vision platforms (e.g., MVTec HALCON).
• Expertise in model development, validation, explainability, monitoring, and lifecycle management.
• Hands-on experience in image dataset collection, annotation, curation, and management.
• Knowledge of industrial vision systems, cameras, lighting, optics, and image acquisition technologies.
• Proficiency in traditional machine vision techniques, including OCR/OCV, pattern matching, edge detection, feature extraction, and rule-based inspection.
• Understanding of manufacturing processes, quality systems, OT environments, and regulated manufacturing practices (IQ/OQ/PQ, validation, change control).
• Experience collaborating with manufacturing, automation, process, and quality engineering teams.
• Ability to develop technical documentation, training materials, implementation playbooks, and best practices.
• Proven track record in mentoring teams on computer vision, AI/ML, and deployment best practices.
• Experience leading multiple AI deployments, balancing technical delivery, stakeholder management, and continuous improvement.
• Experience with containerized AI deployments using Docker and Kubernetes.
• Ability to perform predictive and statistical analysis from different data source
• Exposure to model deployment on constrained EDGE devices like RPI, Jetson Nano, Renesas etc
• Experience working with Image Processing, Computer Vision, Pattern Recognition, Machine Learning and Linear algebra.
• Exposure to model development + deployment of Neural Networks, Support vector Machines, Deep Learning, etc..
• Experience working on Different classes of Images with segmentation, object detection, Speech Recognition, scene analysis …
• Experience on trouble shooting/debugging ML model issues
• Programming skills preferably using Python, C, C++
• Exposure to ONNX ontologies.
• Exposure to deployment tool-chain like Intel EII, Nvidia Deep Stream, Qualcomm AI Hub, etc....
• Excellent communication and documentation skills
• Programming skills preferably using OpenCV, Open Vino, CUDA, Tensorflow, Pytorch
• Exposure to popular platforms such as Azure, AWS.
• Exposure to ML Ops

Salary Range: $100,000-$120,000 a year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & amp;
  Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF SCIENCE (

B.Sc Degree )