Vacancy caducado!
Staples is business to business. You’re what binds us together.Join our Staples World Class Supply Chain Team and deliver essential products to our customers. Help reimagine Staples systems from the ground up and design the next generation Generative AI and AI/ML/NLP applications. Develop machine intelligence algorithms and solutions including high-level architecture designs, code/model development, evaluation, and operationalizing solutions at scale. Partner with a team Software, Data, ML, and Applied engineers for building high performing applications that interact with large scale distributed systems. Incubate ideas, prototype, develop, and productionize machine learning applications. Writing software programs, test for quality and push model to cloud for production. Fetch big data related to Staples systems, analyze, detect patterns, and build models using data. Instill best practices related to software engineering and machine learning engineering problems. Shape next generation technology at Staples by defining the future roadmap for ongoing work.What you’ll be doing:
Build Generative AI based Staples next generation machine intelligence platform.
Ideate, prototype, productionize cross reference solution for bid processing.
Lead development of GenAI/ML enabled customer service intelligence solution.
In all phases of software development including concept, design, prototyping, and production release adhering to industry best DevOps/MLOps practices.
Analyze large volume data (product catalog, customer service, enterprise workflow) to automate complex event processing via machine learning and Generative AI.
Diagnostic, debugging, and troubleshooting skills to fix and improve existing systems.
Building applications on Azure with attention to security, cost, and data sensitivity
What you bring to the table:
Experience in designing/building/improving ML engineering systems
Understanding full software development life cycle and adhering to industry best DevOps/MLOps.
Development of algorithms, design, build, and maintain systems that deals with streaming big data for analytics and Machine learning.
Self-driven, technical leader/architect who has the tenacity to solve hard, challenging, data/compute intensive problems.
Building forward looking ML solutions despite ambiguous/evolving problem requirements.
What’s needed- Basic Qualifications
Bachelor’s degree in Computer Science or related field
14+ years of experience in designing/building/improving ML engineering systems
Hands-on experience in designing and implementing highly reliable, fault-tolerant distributed ML applications with focus on ML Operations and CI/CD.
Prior experience in all phases of software development including concept, design, prototyping, and production release adhering to industry best DevOps/MLOps.
Development of algorithms, design, build, and maintain systems that deals with streaming big data for analytics and Machine learning.
Self-driven, technical leader/architect who has the tenacity to solve hard, challenging, data/compute intensive problems.
Solid experience in building forward looking ML solutions
What’s needed- Preferred Qualifications
Nice to have industry experience in ecommerce, retail environment
We Offer:
Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center
Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits (https://careers.staples.com/Staples-Life/Benefits)
Staples is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.
Vacancy caducado!