Machine Learning Operations Engineer

Machine Learning Operations Engineer (experienced level professional) Michelin is hiring! - - - - - - - - - - - - THIS OPEN POSITION IS LOCATED ONLY AT THE FOLLOWING LOCATIONS: Michelin North America HQ THE “ADDITIONAL LOCATIONS” SHOWN AT THE RIGHT INDICATE WHERE THIS JOB POSTING IS VISIBLE, NOT WHERE THE POSITION IS LOCATED Michelin is hiring! We are looking for a machine learning operations engineer to join our company be a key player in our IT Business Intelligence & Analytics team. Overview: As a member of the Tech Accelerator squad in the BI&A department, you will help drive the adoption of Advanced Analytics products by taking models built by data scientists and turning them into machine learning production systems. The Digital Solution Deployer follows and accompanies entities and regions in the deployment and implementation of the recommended digital solution until ownership by end users. You not only coordinate the deployment of the various components and streams of the solution, but also represent the core team in bearing the program's vision. This job opportunity is open to 100% remote work if needed. What you'll do: Manage and organize the local deployment, ensuring that the local teams have everything they need (information, tools, local specificities' integration…) in order to deploy the solution in the best possible conditions. Build the deployment roadmap and coordinate all relevant actors to implement the solution in a timely way while minimizing the local workload. Coordinate the training of trainers and users to these new solutions. Design and deploy data pipelines and MLOps infrastructure in Azure Develop and deploy tools and services to train models, generate inferences, validate models, and promote the models from development and industrialization to production Identify and evaluate new technologies to improve performance, maintainability, and reliability of the machine learning models Apply software engineering best practices to machine learning operations, including CI/CD, automation Support model development, with an emphasis on auditability, versioning, and data security Collaborate with the delivery squads to build requirements and track the progress of the MLOps efforts What you'll bring Experience building end-to-end systems as a MLOps Engineer or Data Engineer Exposure to machine learning methodology and modeling frameworks Strong software engineering skills in Python, PySpark and SQL Experience with Azure Machine Learning objects such as Databricks, Data Factory, Data Lakes, database systems and building integrations 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, continuous integration and deployment Education & Experience 2 -5 years proven experience building production-quality software Bachelors or advanced degree in computer science or equivalent engineering degree Experience working in a challenging environment with an international team #li-rg1 #LI-hiringmichelin Inspire Motion for Life: Apply Today! As the leading mobility company, we work with tires, around tires and beyond tires to enable Motion for Life. Dedicated to enhancing our clients’ mobility and sustainability, Michelin designs and distributes the most suitable tires, services and solutions for our customers’ needs. Michelin provides digital services, maps and guides to help enrich trips and travels and make them unique experiences. Bringing our expertise to new markets, we invest in high-technology materials, 3D printing and hydrogen, to serve a wide a variety of industries—from aerospace to biotech. Headquartered in Greenville, South Carolina, Michelin North America has approximately 23,000 employees and operates 34 production facilities in the United States and Canada. MICHELIN® tires have been ranked the

#1 Tire Brand

across major categories and segments by industry experts and consumers alike. For nearly three decades we’ve been recognized for our achievements in Customer Satisfaction, Performance, Durability, Technology and Innovation. Michelin cares for the

personal and professional development

of its employees. We support career advancement through various options, which include: skill and career development, training, career exploration and work with cross-functional teams. We offer the possibility of a varied and fulfilling career path in an environment where unique contributions are valued. Michelin offers 10

Business Resource Groups

(BRGs) which are all-inclusive groups created and led by employees who have shared life experiences across various diversity dimensions. Each group supports business strategies and initiatives along with meeting the needs of members. The goal of each group is to help employees feel

welcome and included , support employee engagement and encourage professional development. BRGs also provide cross-cultural support, career management resources and opportunities for community involvement. Michelin 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, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at accommodations@michelin.com. This position is not available for immigration sponsorship. Get in the driver’s seat and be on your way to a meaningful professional journey!