Product ML Tech Lead: End-to-End Data & ML Systems

coke

Atlanta (GA)

On-site

USD 171,000 - 198,000

Full time

8 days ago
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Job summary

The Coca-Cola Company is seeking a Tech Lead specialized in machine learning and data engineering in Atlanta, GA. You will guide end-to-end ML capabilities, ensure robust data foundations, and set engineering standards across ML and data pipelines.

This is a hands-on leadership role without people management responsibilities. Collaborate with Product, Design, Data Science, and platform teams to frame problems, define success metrics, and drive solutions from data modeling to deployment and

Qualifications

  • 6+ years of experience in ML engineering, data engineering, or software engineering.
  • Demonstrated ownership of model development, evaluation, and experimentation discipline.
  • Production practices: testing, CI/CD, reviews; familiar with PyTorch/TensorFlow and data tooling.
  • Experience shipping ML systems with monitoring, drift detection, and data quality checks.

Responsibilities

  • Provide technical direction for ML/data systems and problem framing.
  • Define event/telemetry definitions and feature tables; ensure training/serving consistency.
  • Deploy ML models with consideration for latency, reliability, and cost in production.
  • Mentor engineers and establish reusable patterns for ML + data workflows.

Skills

Agile Methodology
JIRA
Business Processes
Business Process Modeling
Cloud Platform
Communication
Data Flow Diagram
DevOps
Digital Transformation
Enterprise Architecture
Enterprise Content Management
Java
Kotlin
Microsoft Office
Microsoft SharePoint
Mobile Applications
Object Oriented Programming
User Experience

Education

Bachelor's degree in Computer Science or Engineering

Tools

JIRA
Spark
dbt
Airflow
Kubernetes

Job description

The Coca-Cola Company is seeking a Tech Lead specialized in machine learning and data engineering in Atlanta, GA. You will guide end-to-end ML capabilities, ensure robust data foundations, and set engineering standards across ML and data pipelines.

This is a hands-on leadership role without people management responsibilities. Collaborate with Product, Design, Data Science, and platform teams to frame problems, define success metrics, and drive solutions from data modeling to deployment and

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