Noogata is industrializing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. Noogata’s technology allows enterprises to deploy prefabricated solutions for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. Noogata is looking for world-class engineers, machine-learning engineers, and data scientists to join us and build our product and grow our vision. We’re looking for customer-focused, self-driven engineers and scientists that want to solve big, complex problems with a huge impact.
We’re looking for brilliant, creative, ambitious, fun-loving engineers and data-scientist. If you’re all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey!
*Calling all great Python Engineers*
We are looking for experienced python full-stack engineers to lead architecture and development work on our data science platform. Your role will include:
5 years experience with backend/server engineering in Python (or equivalent)
Experience working with Big data technologies (BigQuery, Kafka, Spark, Dask, Beam) at scale
Experience working in Docker/Kubernetes. If you’re familiar with Helm, Kubeflow, Pachyderm or similar Kubernetes tools that’s a big plus
Experience with cloud platforms (GCP, AWS, Azure), working on production payloads of large scale and complexity.
Experience in working on enterprise software, security or data products
Big Advantage: Hands-on experience with data science tools and frameworks
A hands-on software craftsman with a passion for data and scalable, reliable backend software