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Your Day-to-day Roles
Analyse existing software solutions for training and deployment and identify limitations.
Design, develop, test, and deploy software solutions that addresses the above limitations and enable deployment in a heterogenous cluster.
Collaborate with a global team in developing such solutions.
Minimum Qualifications
Bachelors degree in engineering with 2-5 years experience or Masters 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.
Strong programmer skills with background in one or more of the following languages: Python, Java, C++, C
Proficient scripting skills in Python, Bash, or similar.
Good understanding of operating systems, distributed systems, and high-performance applications.
Working knowledge of Machine Learning/ AI.
Go-getter attitude with curiosity to learn new advancements in the field of data science.
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 writingperformance-sensitivepython programs using frameworks like Triton, polars, etc.
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