Description

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

Education

Any gradudate