The Role
In this role you will have to use machine learning algorithm, machine learning pipeline and system development (e.g., implementing more advanced & novel machine learning algorithms with our scientist team from scratch).
Tech stack:
Our tech stack follows open standards. These are processed in microservices. Our backend is written in Python, Java, and C++. We use TensorFlow, PyTorch, Scikit-learn, XGBoost, CatBoost, LightGBM, and many other data science libraries (for example, MLXtend, SHAP etc.,) to build our AI libraries.
The interview process will include a walk through a coding and algorithms case study. This is to test that your ability to synthesise, analyse and provide solutions is at the relevant level required for this role.
Requirements:
Write production level python code following good coding practices and design patterns. Good knowledge of AI (machine learning, optimisation) is required.
Qualifications and Skills:
Benefits:
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