Description

You will develop and optimize custom ML/AI algorithms for new and existing applications.

Responsibilities

• Implement and optimize object detection and instance/semantic segmentation models.
• Track model performance using appropriate KPIs.
• Set up end-to-end pipelines for model deployment.
• Apply model shrinking techniques for deployment on edge devices with limited footprints.

Required Skills

• 8+ years of experience in a Data Science role.
• Strong fundamentals in Python programming.
• Deep learning expertise in computer vision architectures.
• Knowledge of computer vision, NLP, time series forecasting, and anomaly detection.
• Experience with traditional ML algorithms including regression, classification, and clustering.
• Proficiency with OpenCV, Scikit-image, TensorFlow, Torch, Pillow, numpy, pandas, and scikit-learn.
• Understanding of the full software development cycle, from requirements to testing, integration, and delivery.

Preferred Skills

• Experience with NLP architectures.

Key Skills

Education

Any gradudate