MLOps Enigineer-Remote

Must have GCP (Vertex AI, BigQuery) keywords in Techstack  in resume and project.

A Senior Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.

o  Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows

o  Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data

o  Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management

o  Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.

o  Guide team members in achieving MLOps-driven data science outcomes and handle multiple products and initiatives.

o  Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.

o  Participate in internal technical councils and represent the organization in forums that involve community of machine learning engineers across industry and academia.

o  Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

15 Nov 2023 -save job - original job