Computer Vision Engineer
18 hours ago
Job Overview:
We are seeking an experienced Computer Vision/ML Engineer to join our team focused on machine vision problems. As a Computer Vision/ML Engineer, you will play a crucial role in developing and implementing cutting-edge computer vision algorithms to ensure the highest quality standards for our manufacturing facility.
Key Responsibilities:
- Develop and implement computer vision and machine learning algorithms to detect and classify defects
- Preprocess and augment project datasets
- Stay up-to-date with the latest research and advancements in computer vision and machine learning related to defect detection and classification
- Optimize and fine-tune existing computer vision models to achieve high accuracy and efficiency in classification
- Conduct thorough experiments and evaluate the performance of models using appropriate metrics and benchmarks
- Research and develop innovative solutions to address challenges in solving the problem
- Work closely with software engineers to integrate the models into final production
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- 3-4 years of professional experience in computer vision and machine learning, with a focus on object detection and classification
- Strong knowledge of computer vision fundamentals, including image preprocessing, feature extraction, object detection, and image segmentation
- Proficient in Python
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with data augmentation techniques, filtering, and contour extraction
- Knowledge of state-of-the-art computer vision models and techniques applicable to defect detection and classification tasks
- Strong problem-solving skills and the ability to work independently and as part of a team
- Excellent communication and collaboration skills
Estimated Salary: ₹1,200,000 - ₹1,500,000 per year
Benefits:
- A great consulting environment with a chance to work with Fortune 500 companies and startups alike
- A dynamic but relaxed and supportive working environment that encourages personal development
- Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc.
- Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group
- Be part of the exciting Growth Story of Thoucentric
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