Senior Machine Learning Architect
2 weeks ago
Solution Architect for Machine Learning
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Our collaboration with leading academics, industry experts and highly skilled engineers enables our customers to generate sophisticated new insights from the biggest of big data.
What you'll achieve
- You will work with other engineers and data scientists to solve some of the hardest business problems. You will learn what it takes to build, deploy & scale Machine Learning/Artificial Intelligence models in real-world.
- You will build analytical data sets on which model's will be built. This would entail two key tasks – feature engineering on large datasets and optimization of our pipelines to drive scalability.
Requirements
- 7-12 years of overall experience including Design and implementing MLOps pipelines for automating machine learning workflows.
- Extensive experience in Python, Pivotal Container Service (PKS) or Kubernetes and Docker.
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