Sr. Principal Machine Learning Ops Engineer

The Challenge 

The Senior Principal MLOps Engineer role is critical because it plays a key role in the successful deployment, management, and monitoring of machine learning models in production environments. At onetrust we are building several ML Model and deployment and operation in a secure, efficient, and effective manner, enabling onetrust to derive maximum value from their machine learning investments. 

Your Mission 

• 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
• Build data systems and pipelines
• Automate the deployment and scaling of machine learning models in production
• Monitor and maintain the performance and accuracy of machine learning models in production
• Implement continuous integration and delivery pipelines for machine learning models
• Collaborate with data scientists, software engineers, and other stakeholders to ensure the effective deployment and operation of machine learning models
• Ensure the security, privacy, and compliance of machine learning models and related data
• Stay up-to-date with the latest technology and industry trends in MLOps

You Are:

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or 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
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• 12+ years of experience in data engineering or a related field
• Strong analytical skills
• Strong communication and writing skills
• Excellent organizational skills
• 6+ Years experience working with Cloud Platforms (i.e. Microsoft Azure, AWS, GCP)
• 6+ Years experience on Python, Databricks / Hadoop
• 6+ years experience in ML OPS

Benefits

As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, remote or hybrid workplace flexibility, 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, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.