We are looking for a passionate AI/ML Developer with over 5+ years of experience, including hands-on expertise in Computer Vision Engineering. The ideal candidate will design, develop, and deploy machine learning models and computer vision solutions to solve real-world problems across various domains.

Responsibilities :

The AI/ML Developer will be responsible for designing and implementing machine learning and computer vision solutions.

- Develop and implement machine learning and deep learning models.

- Design and deploy computer vision algorithms for image classification, object detection, segmentation, OCR, and video analytics.

- Preprocess and annotate image/video datasets for training and evaluation.

- Collaborate with cross-functional teams to integrate AI/ML solutions into production systems.

- Optimize models for performance, scalability, and accuracy.

- Stay updated with the latest research and advancements in AI/ML and computer vision.

- Document model architecture, training procedures, and deployment workflows.

Qualifications :

Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.

- 5+ years of experience in AI/ML development, with at least 3+ years in computer vision projects.

- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn.

- Experience with image processing, feature extraction, and deep learning architectures (CNNs, GANs, etc.).

- Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).

- Strong understanding of data structures, algorithms, and statistics.

- Experience with version control (Git) and collaborative development tools.

Required Skills :

- Experience with real-time video processing and edge deployment.

- Knowledge of 3D vision, SLAM, or AR/VR technologies.

- Familiarity with annotation tools and dataset management platforms.

- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities.

Preferred Skills :

- Experience with real-time video processing and edge deployment.

- Knowledge of 3D vision, SLAM, or AR/VR technologies.

- Familiarity with annotation tools and dataset management platforms.

- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities.