Analyse existing software solutions for training and deployment and identify limitations.
- Design, develop, test, and deploy software solutions that address the above limitations and enable deployment in a heterogeneous cluster.
- Collaborate with a global team in developing such solutions.
Minimum Qualifications
Bachelor's degree in engineering with 2-5 years experience or Master's degree holders in engineering with 1-3 year experience in the field of data science; candidates with less experience may be considered if they have a remarkable track record in data science and infrastructure development.Things to Make us go Wow!
Active work in AI frameworks like TensorFlow, PyTorch, ONNX.Hands-on experience working with container infrastructure like Docker or Kubernetes.Background in modern programming languages with RUST.Experience with building open-source operating systems and software stacks.Experience with writing performance-sensitive python programs using frameworks like Triton, polars, etc.Skills Required
Tensorflow, Rust, Pytorch, Docker, Kubernetes, Python