Description:
• At least 8+ years’ experience, ideally within a Data Science role.
• Primary responsibility will be to develop and optimize custom ML/AI algorithms for new and existing applications.
• Broad knowledge of computer vision, NLP, time series forecasting, anomaly detection
• Knowledge of traditional ML algorithms such as, regression, classification, and clustering algorithms
• Knowledge of state-of-the-art deep learning model architectures in the areas of computer vision (NLP would be a plus)
• Experience in implementing and optimizing object detection and instance/semantic segmentation models
• Experience in model performance tracking using appropriate KPIs
• Strong fundamentals in Python programming
• Good knowledge of OpenCV, Scikit-image, TensorFlow, Torch, Pillow, numpy, pandas, scikit-learn etc.
• Understanding of SW development cycle, from requirements to testing, integration and delivery
• Familiarity with model shrinking techniques for deployment on edge devices with limited footprint
• perience in setting up end-to-end pipelines for model deployment
Any gradudate