Sr. AI Developer

Roles & Responsibilities:

• Design, develop, and optimize computer vision models for tasks like object detection, image segmentation, and video analysis.
• Implement machine learning algorithms and techniques using Python frameworks (e.g., TensorFlow, PyTorch, OpenCV).
• Preprocess and augment image/video datasets for model training and testing.
• Perform exploratory data analysis to extract insights and refine data pipelines.
• Collaborate with DevOps and engineering teams to deploy machine learning models into production environments.
• Set up monitoring and performance evaluation for deployed models.
• Contribute to CI/CD pipelines for AI workflows.
• Work closely with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals.
• Document processes, models, and experiments effectively.

Requirements:

• Proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, OpenCV).
• Strong understanding of computer vision concepts such as feature extraction, image classification, and object detection.
• Hands-on experience in developing and training deep learning models for image and video data.
• Basic knowledge of MLOps practices, including model deployment (e.g., Docker, Kubernetes) and monitoring.
• Familiarity with version control systems like Git.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML workloads.