Employers / Recruiters

Principal Machine Learning Ops Engineer

onetrust · 2 days ago
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Strength in Trust 

OneTrust unlocks the full potential of data and AI, securely and responsibly. Our platform enforces the secure handling of company data, empowering organizations to drive innovation responsibly while mitigating risks. With a comprehensive suite of solutions spanning data and AI security, privacy, governance, risk, ethics, and compliance, OneTrust enables seamless collaboration between data teams and risk teams to enable rapid and trusted innovation. Recognized as the market leader in trust, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses.

The Challenge 

We are seeking a highly skilled and motivated Principal Machine Learning Engineer to join our BizTech team. The ideal candidate will have a passion for driving innovation in machine learning and a commitment to creating best-in-class solutions. To be successful in this role, you should have a strong technical background with a deep understanding of machine learning algorithms and architectures. You should also have experience designing and developing machine learning solutions, working closely with various business stakeholders and engineers to build high-performing models.  

This position requires excellent problem-solving skills, effective communication skills, and an aptitude for working in a fast-paced environment. If you have a passion for technology and a commitment to creating high-quality machine learning solutions, we would love to hear from you. 

Your Mission 

  • Understand business requirements and create comprehensive documentation, including technical documentation, process flows, and gap analysis documents.
  • You will work closely with business stakeholders, architects and engineers to deliver ML solutions that provide enormous value and efficiency to internal business teams
  • You will help develop data-driven, automated, comprehensive solutions using modern software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models - supervised and unsupervised, deep learning and classical etc
  • You will apply your highly technical problem solving, creative thinking, beautiful mind using the latest ML techniques and toolsets and make a huge impact on the onetrust Go-To-Market strategy
  • Own data exploration and transformation, feature engineering, design and enhance ML models/frameworks that deliver anomaly detection, prediction and recommendation solutions for marketing, sales and finance teams
  • Your work will also ensure that business users have the best experience by providing predictive analytics and recommendations for Lead Scoring, Account Scoring, Propensity to Buy, Case Escalation, SNI and others
  • You will own to Develop, maintain and enhance ML solutions that are highly usable, scalable and secure
  • You will run machine learning tests and improve models based on the training and learnings from them.
  • To better comprehend data through exploration and statistical analysis, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations.
  • Coordinate and actively participate in user acceptance testing (UAT) to track and resolve issues, securing end-user acceptance sign-off. 

You Are

This technical role requires a hands-on individual contributor with extensive knowledge and domain expertise, demonstrating proficiency in industry best practices. 

  • Bachelor's degree or Master's degree in computer science, Information Systems, or related field (or equivalent work experience)
  • 8+ years of experience in modelling and building classic and deep learning solutions for Advanced Analytics, Machine learning and Data Sciences.
  • You also should have a product mindset and strong intuition around how ML can drive a better customer experience
  • Experience delivering applied machine learning products, including taking a product through design, implementation, and to production  
  • You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved
  • Knowledge and ability to write complex SQL for processing raw data, data validation and QA
  • Languages for coding and programming, such as Python (NumPy, SciPy, Pandas), Java, C++, C, R, and JavaScript.
  • Experience working with ML frameworks (TensorFlow, Scikit, XGBoost), ML libraries and packages, such as the Natural Language Toolkit.
  • Experience working with diverse ML Platforms like (Amazon, Azure, H2O, RapidMiner) 

Where we Work

OneTrust embraces a hybrid working model. Our Working@ OneTrust initiative is our way of clarifying where we hire, how we work together, and where we’re located in that hybrid model.  

The underlying “why” for Working@ is that we are intentional about the culture that we want to create together. That includes bringing teams together, in-person, throughout the year to collaborate, build connections, learn from each other, and celebrate our wins to Finish Stronger.  

We are committed to a flexible approach informed by a set of guiding principles. You’ll see that reflected in our worker designations: “Office-flex” and “Location-flex”.

  • Office-flex: Like a traditional hybrid model, OneTrust “Office-flex” employees may be asked to work in an office periodically if they are within a commutable distance to a OneTrust office. This includes coming into the office for our Company Kickoff, Company All Hands, and other larger company events. Beyond that, we give our leaders and teams the flexibility to set additional guidelines based on the nature of your role.  
  • Location-flex: Similar to other companies’ remote policies, for OneTrust “Location-flex" roles, you will primarily work from your home office location. However, you may be required to travel to our OneTrust offices or customer sites periodically based on the nature of your role.

Each role may have specific requirements, so we encourage you to verify the location of the role with your recruiter during your first interview.


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, 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


Check out the following to learn more about OneTrust and its people: 

Your Data

You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy OverviewYou can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.

Our Commitment to You 

When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new industry — Trust. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career 

OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Last updated on Jun 11, 2024

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