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Data Scientist
3 months ago
Responsibilities:
• Develop and implement computer vision and machine learning algorithms to detect and classify defects in manufacturing facility
• 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 systems.
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.
Preferred Qualifications:
• Experience working on projects related to quality control or inspection in manufacturing environments.
• Familiarity with industrial imaging systems and techniques.
• Understanding of parallel computing and GPU optimization for accelerated model training and inference.
Benefits
- Opportunity to define your career path and not as enforced by a manager
- 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