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Machine Learning Operations Engineer Intern

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  • Posted 12 days ago
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Job Description

About the job

Hiring: Machine Learning Operations Engineer Intern | 100% Remote | Walmart Inc.

Company: Walmart Inc. (Sam's Club – ISEE Platform)

Position: Machine Learning Operations Engineer Intern

Employment Type: Internship (4 Months)

Work Location: 100% Remote

Work Schedule: Monday – Friday

Work Hours: 5–6 hours per day, aligned with EST Time Zone

Stipend: 5,000/month

We are looking for an enthusiastic MLOps Intern to join the IRAS (Item Recognition as a Service) team within the Intelligent Store Execution Engine (ISEE) platform at Walmart/Sam's Club.

This internship is ideal for students, recent graduates, and aspiring professionals who want to gain hands-on experience in building and managing end-to-end MLOps pipelines, production-grade machine learning systems, and cloud-based ML infrastructure. You will work closely with Data Scientists, ML Engineers, and Platform teams to build scalable machine learning solutions supporting computer vision and intelligent retail applications.

Key Responsibilities

  • Own the complete MLOps lifecycle from data ingestion to model deployment, monitoring, and retraining.
  • Design, build, and maintain scalable ML pipelines.
  • Develop CI/CD pipelines for machine learning workflows.
  • Implement model monitoring, drift detection, and performance tracking.
  • Productionize and optimize data science code.
  • Enable model versioning, reproducibility, and governance.
  • Collaborate with cross-functional teams to standardize MLOps best practices.
  • Support multiple ML products and initiatives simultaneously.

Required Skills

  • Strong hands-on experience with end-to-end MLOps lifecycle
  • Excellent Python programming skills
  • Experience building CI/CD pipelines for ML systems
  • Strong knowledge of Machine Learning fundamentals
  • Experience with MLflow and/or Kubeflow
  • Cloud experience (GCP preferred, Azure also acceptable)
  • SQL and Big Data technologies (Spark, Databricks, etc.)
  • Docker & Kubernetes
  • Shell scripting
  • Experience supporting production ML platforms

Preferred Skills

  • Computer Vision
  • RFID integration
  • Real-time ML inference systems
  • Retail domain experience
  • GPU optimization for ML workloads

Job Details

  • Client: Walmart Inc.
  • Internship Duration: 4 Months
  • Stipend: 5,000/month
  • Work Mode: 100% Remote
  • Schedule: Monday – Friday
  • Working Hours: 5–6 hours/day
  • Time Zone: EST

Performance-Based Opportunity: Based on performance during the 4-month internship, further opportunities may be considered after successful completion of the internship.

If you have strong interest or experience in Python, MLOps, Cloud, DevOps, Kubernetes, MLflow/Kubeflow, and production ML systems, we'd love to hear from you.

Apply now or send your resume to [Confidential Information]

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Job ID: 152915637

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