Data Science engineer

Roles and responsibilities 

 Understand business requirements and formulate solution for the problem, satisfying the time, memory and accuracy SLAs.

 Research techniques in computer science and mathematics for elegant solution.

 Code, train, evaluate and deploy models that integrate with the complete software solution.

 Own and deliver the product to the end-user, in the time alloted for the project.

Skills 

 Candidate must be good at programming and be able to adapt to any of the basic programming languages like C, C++, Python, Matlab, R, Julia, Java, Go, Rust etc.

 Candidate must have mastery of basic computer science concepts like data structures, algorithms, databases, relational algebra (SQL), operating systems, computer architecture, computer networks.

 Candidate must be comfortable in programming on GNU/Linux in a high performance computing (HPC) setups like multicores, clusters, GPUs, etc.

 Candidate must be able to grasp concepts from latest research papers and implement them in a short time

 Candidate must have mastery over basics of machine learning and hands on experience with recent advances in deep learning

 Candidate must have a specialization in AI / ML and should have mastery over few of the topics in the prerequisites section

 Candidate must be familiar with ML programming frameworks and libraries and should be able to quickly learn and adapt to the newly emerging ones