Help shape the future of Data Science across Liberty!
As the Director of Machine Learning Operations (MLOps) in the Office of Data Science (ODS), you will work with a diverse group of data scientists and engineers to broadly influence how we train, package, investigate, and deploy machine learning models and other data science artifacts at Liberty.
The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation, common tool and platform development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.
If you are interested in making an impact on an entire scientific culture at a Fortune 100 company, the ODS is the place for you!
As a centralized group, our project scope is vast. The ODS incubates a number of ML projects, as well as collaborating on larger projects across the org, in many areas including advanced predictive modelling, computer vision, natural language processing, and more. Our group excels in the how of data science how to write repeatable code, how to train a model continuously, and how to package and deploy it into a production system. As a technical director of Machine Learning Operations, you will be responsible for setting the scientific strategy for many of these hows, tactically engaging with key groups to determine the mechanics of training and deploying models, and working with our platform teams to build or adopt repeatable tools and packages. You will help us vet modern tools like AWS Sagemaker, MLFlow, Seldon, and others to determine what works for Liberty and what we need to build. You will help operationalize numerous models across the organization, provide guidance and training to DS and engineers alike, and set the standard for applied machine learning at Liberty. If you like a rich set of varied responsibilities, with tremendous exposure and impact within a large organization, this is a role for you!
- Demonstrated experience with the mechanics of training and deploying ML models, as well as other aspects of the Data Science lifecycle, such as scheduling, CI/CD, cluster computing, serverless architectures, etc.
- Experience bridging the gap between engineering and data science groups
- Broad knowledge of machine learning and statistics, with the ability to deep dive as well as converse at high technical level with architects and senior scientists. NLP/NLU, Computer
- Vision, and other deep learning experience a plus.
- Advanced python and related programming skills
- Experience directing or managing small to medium projects
- Ability to give effective training and presentations to DS and engineers
- Advanced degree and 5 to 7 years of relevant experience, or a Bachelor`s degree with 10 years of relevant experience
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. Thats why we provide an environment focused on openness, inclusion, trust and respect. Here, youll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more, please visit https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual has proudly been recognized as a Great Place to Work by Great Place to Work US for the past several years. We were also selected as one of the 100 Best Places to Work in IT on IDGs Insider Pro and Computerworlds 2020 list. We have been named by Forbes as one of Americas Best Employers for Women and one of Americas Best Employers for New Graduatesas well as one of Americas Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veterans status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.