Job at a glance
Responsibilities: Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets. Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow. Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months. Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead. Requirements: 3+ years work experience with production-grade python- preferably contribution to open source repost. Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred. Some working experience with TensorFlow or PyTorch is preferred. Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.