AI Engineering Director

7 days ago

Silver Lake, Kansas, United States Walmart Full time
Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to lead the scaling and deployment of cutting-edge machine learning models powering our Data Ventures team.

  • The ideal candidate will be responsible for building scalable end-to-end data science solutions for our data products.
  • They will work closely with data engineers, data analysts, data scientists, and application developers to help build ML and statistics-driven models and continuous model monitoring workflows.
  • This role involves solving business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data.
  • The selected candidate will own the MLOps lifecycle, from data monitoring to refactoring data science code, and building robust ML model lifecycles.
  • A strong thought-leader, they will consult with product and business stakeholders to build, scale, and deploy holistic machine learning solutions after successful prototyping.
  • They will guide team members in achieving MLOps-driven data science outcomes and handle multiple products and initiatives.
  • The individual will follow industry best practices, stay up-to-date with, and extend the state of the art in machine learning research and practice.
  • Participating in internal technical councils and representing the organization in forums involving the community of machine learning engineers is also expected.

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech.

Job Requirements:

  • You have an engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems, and implemented those in Machine Learning projects.
  • You have experience in NLP/NLU, Forecasting, and Anomaly detection DS solution development and deployment in real-world scenarios.
  • You have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting.
  • Experience in scaling infrastructure to support high-throughput data-intensive applications using PySpark/GPU is required.
  • You have worked on integrating ML models with web services.

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Estimated Salary: $147,000 per year

Location: Sunnyvale, California or Bentonville, Arkansas

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