Design, develop, and deploy machine learning and computer vision models (classification, detection, segmentation, OCR, video analytics). Preprocess and annotate image/video datasets, optimize models for performance and scalability, integrate solutions into production, and document architectures and workflows.
Role: AI/ML Developer (with Computer Vision Expertise)
Experience Required: 5+ Years
Location: Pune
Employment Type: Full-time
Job Summary:
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.
Key Responsibilities:
• 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.
• Pre process 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.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related
field.
• 5+ years of experience in AI/ML development, with at least 3+ year 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.
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.
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