Senior Manager II, Data Science, People.AI MLOps

Key Skills

Java Programming, Python Programming, Framework, SQL, Scala Programming, TensorFlow, Scikit-learn, R Programming, SPARK Programming, Torch library

Job Description

Walmart's People.AI team is seeking an experienced senior manager to lead the ML Production Engineering team. At People.AI, 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 who can create simple, reusable abstractions for performing complex machine learning tasks.

You’ll sweep us off our feet if…

• Experience leading teams both technically and in a formal management capacity
• Good communication skills and the ability to understand and synthesize requirements across multiple domains
• Deep knowledge of and experience in building end-to-end machine learning pipelines or architecture
• Highly skilled in the technologies we use and learn daily: Python (ML, web server), Cloud Platform (Azure, GCP), Kubernetes, Airflow, SQL
• Well-developed software engineering fundamentals and the ability to write production code when needed
• Intellectual curiosity and a passion for MLOps and cloud technologies

You’ll make an impact by…

• Recruit, lead, and mentor a strong team (current team size of 3, with future growth planned)
• 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 team’s work to life. Identify new opportunities, develop prototypes, achieve buy-in from partners, and communicate staffing needs
• Effectively communicate your team’s 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, model retraining, and monitoring, to ensure successful deployment and continuous operation of ML systems
• Stay up-to-date with the latest state-of-the-art techniques in machine learning and foster a culture of learning within the organization

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Benefits & Perks

At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Health

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)