ML Ops Engineer

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions
Implement models and algorithms on Databricks and H2O
Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging.
Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations
Building ML-as-a-service, with the purpose of taking experiments to production quickly.
Share learnings and project findings with the wider Workday Machine Learning Community
Willing to work across multiple time zones.
What You will Bring
Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python
3 - 4+ years of experience implementing models or machine learning algorithms in production
Experience on any of these cloud platforms (AWS, Azure, GCP)