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.