Sr. Principal Machine Learning Ops Engineer

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Job Description

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

Company Info.


OneTrust is a cloud platform that enables organizations to turn trust into a measurable competitive advantage. It is used by organizations worldwide to ensure responsible data use, protect privacy rights, report on cybersecurity programs, achieve social impact goals, and promote a culture of trust.

  • Industry
    Computer software
  • No. of Employees
  • Location
    Atlanta, GA, USA
  • Website
  • Jobs Posted

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OneTrust is currently hiring Principal Machine Learning Engineer Jobs in Bangalore, Karnataka, India with average base salary of ₹90,000 - ₹250,000 / Month.

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