OneTrust is hiring a
Principal Machine Learning Ops Engineer

Summary

The job is for a MLOps Engineer at OneTrust, a global trust intelligence cloud platform company. The role involves designing data pipelines, developing scalable tools, evaluating new technologies, supporting model development, communicating with clients, and facilitating proof-of-concept machine learning systems.

Requirements

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent
• Experience in MLOps tools like MLFlow or Azure Machine Learning
• Strong software engineering skills in complex, multi-language systems
• Fluency in Python
• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open source tools
• Experience developing with containers and Kubernetes in cloud computing environments
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering or a related field

Responsibilities

• Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
• Take offline models data scientists build and turn them into a real machine learning production system
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Communicate with clients to build requirements and track progress

Preferred Qualifications

• Strong analytical skills
• Strong communication and writing skills
• Excellent organizational skills
• 3+ Years experience working with Cloud Platforms (i.e. Microsoft Azure, AWS, GCP)
• 3+ Years experience on Python, Databricks / Hadoop
• 3+ years experience in ML OPS

Benefits

• Comprehensive healthcare coverage
• Flexible PTO
• Equity stock options
• Annual performance bonus opportunities
• Retirement account support
• 14+ weeks of paid parental leave
• Career development opportunities
• Company-paid privacy certification exam fees