We are looking for a highly motivated and collaborative person who can work with all levels of the organization. This position will require :
- Strong coding skills in Python / Scala or equivalent
- Experience with distributed data processing tools like Hive, Spark, Airflow and
- popular ML frameworks like Tensorflow or Pytorch are preferred
- Solid understanding of engineering best practices and complexities of models in
- production
- Experience developing and productionizing machine learning models is a plus
- Experience with Docker, Kubernetes, and Spark is a plus
- Experience with distributed data processing tools like Hive, Spark, and Airflow is a plus
- Industry experience building end-to-end Machine Learning Infrastructure is a big plus
The Senior Data / ML Engineer :
- Work closely with Machine Learning Engineers to understand, refine, and prioritize requirements
- Design and build our model serving service with simple, powerful APIs to capture our users / clients needs
- Build our core ML model lifecycle management system to provide an ML-aware release and deployment experience
- Improve machine learning data quality by using & building tools to automatically detect issues
- Create intelligent ML-aware real-time monitoring & observability systems
- Work closely with partner teams to integrate with other ML tools to create a seamless end-to-end experience
- Leverage open-source technologies like Kubeflow, Kubernetes, Spark, Docker, Airflow, Tensorflow, and PyTorch
This is a remote position.
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