ML Platform Engineer — Data & AI Systems

Bodyarmor

Atlanta, Northern (GA, KY)

Hybrid

USD 152,000 - 178,000

Full time

6 days ago
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Job summary

The Coca-Cola Company in Atlanta is seeking a Senior Manager, Software Engineer, Data Platform & Segmentation to own the technical vision for data platforms powering customer and commercial teams. You will build scalable data pipelines, develop ML models, deploy APIs for model inference, and collaborate with product, design and security teams in a gated, production-grade environment.

The role emphasizes hands-on engineering and deep technical expertise with Azure data tools, MLOps, and

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • 3+ years of hands-on data platform/analytics/backend experience.
  • Strong Python and ML libraries experience.
  • Experience deploying ML models to production environments.
  • Strong SQL skills with large enterprise datasets.

Responsibilities

  • Partner with Product Managers, Designers, and Tech Leads to co-own outcomes and data assets.
  • Build scalable data preparation and feature engineering pipelines for ML applications.
  • Develop predictive and recommendation models using suitable ML techniques.
  • Create APIs/services to expose model predictions to enterprise apps.
  • Implement MLOps pipelines for training, testing, deployment, and monitoring.
  • Ensure data quality, lineage, observability, and reliability.

Skills

Python
SQL
Machine Learning
MLOps
APIs
Azure
Git

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure Data Platform
CI/CD

Job description

The Coca-Cola Company in Atlanta is seeking a Senior Manager, Software Engineer, Data Platform & Segmentation to own the technical vision for data platforms powering customer and commercial teams. You will build scalable data pipelines, develop ML models, deploy APIs for model inference, and collaborate with product, design and security teams in a gated, production-grade environment.

The role emphasizes hands-on engineering and deep technical expertise with Azure data tools, MLOps, and

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