Flexible Work, Better Balance
As a Machine Learning Associate Advisor, you will leverage your expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on Databricks. You will also be responsible for building and maintaining scalable cloud infrastructure on AWS. You’ll work closely with data scientists and product teams to build robust AI/ML pipelines that support advanced analytics and generative AI applications.
Responsibilities
Lead and mentor a team of MLOps and AI/ML Engineers, setting technical direction and engineering standards for building, deploying, and operating machine learning systems at scale.
Apply advanced ML techniques including supervised, unsupervised, and deep learning using PySpark, MLlib, and PyTorch.
Design and leverage AWS services such as EKS, EC2, SageMaker, Lambda, and S3.
Automate cloud resource ...