Required Skills:
• 5+ years of industry experience or a PhD + 2 years industry experience in applied Machine learning.
• Strong coding skills in Python/Java/Scala or equivalent
• Experience with distributed data processing tools like Hive, Spark, Airflow and popular ML frameworks like Tensorflow or Pytorch is 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, Spark is a plus
• Experience with distributed data processing tools like Hive, Spark, Airflow is a plus
• Industry experience building end-to-end Machine Learning Infrastructure a big plus
Bachelor's degree