Senior Machine Learning

at Experis
Location Richmond, VA
Date Posted July 18, 2020
Category Default
Job Type Full-time


Senior Software Engineer with Machine Learning experience
Location: Remote in continental U.S. or Richmond, VA; must be available 8am-5pm EST

Essential Responsibilities:
Work collaboratively and creatively with other developers to productionize and operationalize models using the latest Microsoft Azure technologies and leading industry practices
Develop scalable model-as-a-service patterns and enterprise capabilities
Build scalable online/offline feature stores and streaming capabilities
Partner with Data Scientists, Product Managers, and Data Engineers to deliver creative, cutting-edge, high-quality engineering solutions, enhancing the iconic Client experience for our customers

5+ years software development experience using Python and C# including strong understanding of software engineering principles
2 years experience developing REST APIs and deploying microservices in Azure
2 years experience with Databricks
1-year experience deploying and managing containerized applications, preferably using Azure Kubernetes Services
1-year experience developing streaming capabilities
1-year experience with Azure Machine Learning Services and MLflow
Exposure to machine-learning libraries and tools, such as PyTorch, Tensorflow, or scikit-learn.
2 years experience working on Agile teams implementing DevOps/DataOps/MLOps practices
Excellent communication skills, adapting to various audience types
Passionate about innovation and loves solving complex problems in a highly- collaborative, fast-paced team environment

Experis is an Equal Opportunity Employer (EOE/AA)

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