Senior Data Scientist at paralleldots – Delhi
paralleldots
Delhi, 110029, United States
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Recently UpdatedJob Function:ScienceEmployment Type:Full-Time
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Job Title : Senior Data Scientist
Description ParallelDots is hiring for a Senior Data Scientist. The roles and responsibilities are : - Learning about our Machine Learning stack which involves many Computer Vision and inference algorithms. Contributing to the codebase wherever necessary. [30%] - Training algorithms on client datasets with required accuracy and deliver within time bounds. [20%] - Research work to increase ParallelDots' accuracy in tasks like object detection, self-supervised learning, Bayesian Inference, and Boosting Trees. Skill sets we are looking for : - Minimum 3 years experience in the field of Data Science - PyTorch, OpenCV, and Deep Learning / Computer Vision stack. {Must have} - Wandb, streamlit, and Docker/Kubernetes. {Good to have} - PyMC3 for Bayesian Inference and XGBOOST for classification. {Good to have} Following candidates will be given priority : - Worked at a university research lab on a Deep Learning project. - Worked with a team where you contributed to a Computer Vision product {launched} / Kaggle competition {results in top 20%}. - Real-world Object Detection / Classification work will be given priority. - Published a paper {applied not review} in Deep Learning or Computer Vision.
Description ParallelDots is hiring for a Senior Data Scientist. The roles and responsibilities are : - Learning about our Machine Learning stack which involves many Computer Vision and inference algorithms. Contributing to the codebase wherever necessary. [30%] - Training algorithms on client datasets with required accuracy and deliver within time bounds. [20%] - Research work to increase ParallelDots' accuracy in tasks like object detection, self-supervised learning, Bayesian Inference, and Boosting Trees. Skill sets we are looking for : - Minimum 3 years experience in the field of Data Science - PyTorch, OpenCV, and Deep Learning / Computer Vision stack. {Must have} - Wandb, streamlit, and Docker/Kubernetes. {Good to have} - PyMC3 for Bayesian Inference and XGBOOST for classification. {Good to have} Following candidates will be given priority : - Worked at a university research lab on a Deep Learning project. - Worked with a team where you contributed to a Computer Vision product {launched} / Kaggle competition {results in top 20%}. - Real-world Object Detection / Classification work will be given priority. - Published a paper {applied not review} in Deep Learning or Computer Vision.
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Delhi, 110029, United States
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