Computer Vision Engineer

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Key Responsibilities:

Running experiments to test performance, consider optimizations, and improve the features that we offer
Working closely with the team of scientists and engineers, and being responsible for staying up-to-date with the latest research, testing, experimenting with new ideas and techniques, and building what works best in our products.
Learning and experimenting with new ideas, and being interested in staying up to date with the latest research in machine learning
Determining the best way to solve problems, evaluating the solutions, and understanding how they could be best used.
Taking interest and the opportunity in project ownership
Willing to try out new ideas and develop the ones that work best in usable software.
Developing data processing workflows for optimizing ingestion
Developing SOTA data augmentation techniques.
Developing SOTA data augmentation techniques.
Building python-utils for internal and external uses.

Role Proficiencies:

2 to 5 years of proven work experience in Python, Machine Learning, ML-Ops, and Computer Vision
Fluency with using NN frameworks such as TensorFlow, Keras, Caffe, or Torch, and understanding how backpropagation works.
Fluency with Python as well as experience with packages such as NumPy, Pandas, Scikit-learn, and Matplotlib
Experience with popular machine learning hubs and frameworks such as hugging face, Open MM Lab, and Detectron2
Masters/Bachelors in Computer Science or related field
Kubernetes at a high level will be a plus
Familiarity with machine learning hardware and related technology.
Knowledge of scaling machine learning.
Great to have working experience in product teams
Experience in Python, and C++ programming languages
Experience with TensorRT, Deepstream, and TRITON projects in video, speech, or NLP
Published research papers/patents, and contributions to open-source projects will be a plus.

Experience:
2 - 5 Years
Salary:
7 LPA - 14 LPA
Diversity Candidate:
No
Location:
Mumbai
Address:
Mumbai
Primary Skills:
Computer Vision, Deep learning frameworks like PyTorch, TensorFlow, Keras, ball tracking, events cameras, Multiview geometry.
Industry:
Information Technology/IT
Job Type:
Full time
Degree:
Any Graduate