ML Ops Engineers

About the Company Accelerate your career. Join the organization that's driving the world's technology and shape the future. Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com. Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow – it'll be a fun journey! Employer Ingram Micro Inc. Job Title ML Ops Engineers Job Location Irvine, CA Job Type Full Time Rate of Pay $101,712-$123,614.40/yr Job Duties Responsible for accelerating Ingram's Artificial Intelligence solutions strategy. Develop new AI solutions, products, and insights to support key global initiatives in a complex multi-tier supply chain. Engage with a cross-functional group of stakeholders focused on advanced logistics, inventory, procurement, and warehouse projects in one of the world's largest logistics networks. Serve as the Subject Matter Expert (SME) for designing solutions that leverage AI/ML in the advanced logistics arena. Leverage technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. Drive the evolution of AI activities at Ingram Micro. Build analytics and AI/ML products or solutions. Perform design, implementation and consulting for Machine Learning/AI/Deep Learning solutions. Utilize experience with learning frameworks, technical architecture, design, deployment and operations for AI platforms, standards, protocols, and devices. Research data to discover hidden patterns. Collaborate effectively across organizational boundaries, build relationships, and import/export talent and ideas to achieve a broader organizational goal. Develop experimental and analytic plans for data modeling processes, use of strong baselines, accurately determine cause and effect relationships. Apply data science techniques to real-world business challenges. Use data visualization tools. Present complex technical concepts to broad audiences in a simplified format. Qualifications Employer will accept a Bachelor's degree in Computer Science, Computer Engineering, Statistics, Mathematics or related field and 3 years of experience in the job offered or in a Data Scientist-related occupation. Telecommuting / Working from Home Telecommuting / working from home may be permissible pursuant to company policy. Contact Search by title and apply online at https://www.ingrammicro.com/en-us/careers/work-for-us Compensation Details The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate's primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range. Benefits U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. Other Requirements Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check. Equal Opportunity Employer Statement Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law. J-18808-Ljbffr