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 contemporary 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: Docker, Kubernetes, Tensorflow, Rust, Pytorch, Python

Experience: 2.00-5.00 Years

📌 Engineer, Data Science (Chennai)
🏢 KLA-Tencor
📍 Chennai