Job Description

Data Scientist I

Professional Experience: 1-3 years

Location: Bangalore

Required Skills:

• Prior experience developing deep learning models for computer vision applications. Hands on experience in areas like image classification, object detection and instance segmentation.
• Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on.
•  Proficiency in python.
• Proficiency in numpy and opencv.
• Proficient in at least one of the deep learning frameworks e.g. PyTorch, MxNet or Tensorflow.
• Familiarity contributing and maintaining code in github.
• Understanding of SQL and docker technology is a bonus.

Responsibilities:

• Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.
• Develop deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.
• Continuously improve the quality and performance of existing deep learning models by applying latest research in the field.
•  Contribute in developing models in areas like self-supervised and semi-supervised learning

Educational Background

B.Tech/M.Tech (Optional), B.Sc./M.Sc., Computer Science, Maths, Statistics or equivalent field

Skills & Requirements

Data Scientist I

Professional Experience: 1-3 years

Location: Bangalore

Required Skills:

• Prior experience developing deep learning models for computer vision applications. Hands on experience in areas like image classification, object detection and instance segmentation.
• Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on.
•  Proficiency in python.
• Proficiency in numpy and opencv.
• Proficient in at least one of the deep learning frameworks e.g. PyTorch, MxNet or Tensorflow.
• Familiarity contributing and maintaining code in github.
• Understanding of SQL and docker technology is a bonus.

Responsibilities:

• Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.
• Develop deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.
• Continuously improve the quality and performance of existing deep learning models by applying latest research in the field.
•  Contribute in developing models in areas like self-supervised and semi-supervised learning

Educational Background

B.Tech/M.Tech (Optional), B.Sc./M.Sc., Computer Science, Maths, Statistics or equivalent field