Principal Machine Learning Engineer, OneTrust

• Experience with machine learning development methodology and best practices including MLOps
• Experience with traditional machine learning and/or deep learning techniques using open source frameworks like PyTorch, Scikit-learn, Tensorflow, Keras, etc
• Experience in building and deploying Python or Java based enterprise applications
• Strong software engineering skills in complex, multi-language systems
• Strong understanding of software testing, benchmarking, and continuous integration
• Fluency in Python
• Ability to translate business needs to technical requirements
• Experience working with cloud computing and database systems
• Exposure to deploying application as containers on Kubernetes in cloud computing environments
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• 7+ years of experience as ML engineer/data-scientist with hands-on experience with machine learning libraries/frameworks like PyTorch, scikit-learn, Keras etc
• Strong analytical skills
• Strong communication and writing skills
• Excellent organizational skills
• 5+ Years experience on Python
• 5+ Years experience with relational and/or NoSQL databases
• 3+ Years experience working with Cloud Platforms (i.e. Microsoft Azure, AWS, GCP)
• 3+ years experience in MLOps

Desirable

• As a Principal Machine Learning Engineer at Onetrust, you’ll play a pivotal role in advancing cutting-edge privacy solutions and responsible AI practices through research, innovation and collboration
• You will bridge the gap between theoretical algorithms and real-world applications. You'll collaborate closely with data scientists and business stakeholders to transform cutting-edge ideas into tangible solutions that drive business value
• Lead design, development, and deployment of complex ML models and systems, ensuring they align with business goals and user needs
• Architect and implement robust, scalable ML solutions, leveraging state-of-the-art techniques and frameworks like Scikit-learn, PyTorch etc
• Monitor and optimize model performance, ensuring efficiency, accuracy, and fairness in production environments
• Stay abreast of the latest advancements in ML research, actively exploring emerging technologies and identifying opportunities for application within the company
• Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering seamless collaboration across teams (data scientists, product managers, software engineers)
• Mentor and guide junior engineers, fostering their growth and development within the field of Machine Learning
• Automate the deployment and scaling of machine learning models in production
• Help integrate machine learning/GenAI with Onetrust application solutions
• 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
• Collaborate with data scientists and architects on several projects