Sr Machine Learning Engineer - Forecasting Engine - Python - Pyspark - Vertexai

Sr Machine Learning Engineer – Forecasting Engine – Python – Pyspark – Vertexai

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Data Science, Applied Mathematics, Statistics, Physics or equivalent industry experience
3 plus years of experience in end-to-end software development or applied Machine Learning
Experience deploying Machine Learning algorithms into production environments (VertexAI)
Demonstrated programming experience in Python, Java or R
Good understanding of Big Data tech – specifically in PySpark and/or Hadoop ecosystem
Experience with CI/CD, various testing frameworks and containerization (Docker, Kubernetes)
Ability to collaborate with product managers, data scientists and engineers to understand the business requirements and translate to machine learning solutions at scale
Self-driven and results oriented – able to meet tight timelines
Motivated team-player with ability to collaborate effectively across global team
Experience in mentoring junior team members in ML skillset and career development

Develop and operate a complex demand forecasting pipeline that delivers business-critical, detailed forecasts to downstream consumers
Design, implement, and optimize machine learning solutions in production
Ensure the pipeline’s architecture, automation, testing, and validation
Understand best-practice software design and participate in code reviews
Create a maintainable and well-tested codebase with relevant documentation
Design and develop additional tooling, such as REST APIs or streaming message queues, to deliver data to external consumers
Present work to technical and business leaders
Conduct training sessions and contribute learnings back to the organization
Build knowledge on business priorities and strategic goals to inform requirements and solutions for each business need

No preferred qualifications provided.