AI/ML Developer

About the Company

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.

About the Role

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

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.

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

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+ 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.