Engineer, Data Science

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.