Senior Manager, Software Engineering - Generative AI Platform

Position Summary...

What you'll do...

Walmarts People Techteam is seeking an experienced Senior Manager to lead the ML Production Engineering team. At People Tech, we use our large and unique datasets about our employees to model, augment, automate, and reimagine all aspects of their digital experience.

This is a vital role on the team with significant growth prospect, reporting directly to the Director of ML Engineering. You will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll focus on the machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications using existing and emerging cloud technologies. We are looking for someone who is eager to lead the development of large machine learning systems alongside talented modelers and engineers, as well as a strong architect with a track record for designing APIs used in large-scale production environments who can create simple, reusable abstractions for performing complex machine learning tasks.

About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

What you'll do:

• Recruit, lead, and mentor a strong team.
• Shape the People.AI product roadmap using an understanding of both business requirements and machine learning architecture.
• Dive deeply with members of your team to provide coaching that ensures their success, providing hands-on technical guidance and direction in critical high-impact areas as needed.
• Partner and collaborate closely with People.AI product and business leaders.
• Work cross-functionally with product, data science, app development, and data engineering teams to prioritize efforts that will bring your teams work to life. Identify new opportunities, develop prototypes, achieve buy-in from partners, and communicate staffing needs.
• Effectively communicate your teams work to other senior leaders and the executive team on a regular basis.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Model the MLOps ways-of-working by leveraging CI/CD best practices, including test automation, automated deployments, model retraining, and monitoring to ensure successful deployment and continuous operation of ML systems and pipelines.
• Stay up-to-date with the latest state-of-the-art techniques in use and deployment of machine learning applications/models and foster a culture of learning within the organization.

What you'll bring:

• Experience leading teams both technically and in a formal management capacity.
• Excellent communication skills and the ability to understand and synthesize requirements across multiple domains.
• Deep knowledge of and experience in building scalable distributed end-to-end machine learning pipelines and or services.
• Highly skilled in the technologies we use and learn daily: API Design, scaling applications, distributed systems, Python(ML, APIs, workflows), Cloud Platform (Azure, GCP), Kubernetes, Airflow, SQL.
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