Description
Designation : Lead ML Engineer
Experience : 6+ Years
Location : Ahmedabad ( Work from Office )
Key Skills & Responsibilities
- Strong foundation in image processing and computer vision fundamentals, including experience with OpenCV and NumPy
- Hands-on experience with computer vision architectures such as image classification, segmentation, and anomaly detection
- Proficiency in deep learning frameworks and networks, including CNNs and tools such as PyTorch and/or TensorFlow; familiarity with SAM 2 is a plus
- Experience in defect detection techniques, including texture analysis, anomaly detection, and segmentation approaches
- Ability to design and manage the end-to-end model lifecycle, including training, inference, monitoring, and retraining across cloud and edge environments
- Exposure to AWS services such as SageMaker, Lookout for Vision, Rekognition, Panorama, EC2, and S3 (nice to have)
- Understanding of camera calibration and the impact of lighting conditions on model performance (nice to have)
- Strong skills in model evaluation, validation, and error analysis
Qualifications
- Bachelors or masters degree in computer science, Engineering, Artificial Intelligence, or a related field
- 610+ years of experience in computer vision, machine learning, or deep learning, with demonstrated leadership responsibilities
- Experience deploying CV/ML models into production environments
(ref:hirist.tech)
