Product ML Lead - Data & AI Engineer

Coca-Cola HBC

Atlanta (GA)

On-site

USD 171,000 - 198,000

Full time

9 days ago
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Job summary

The Coca-Cola Company seeks a Tech Lead in Atlanta to drive end‑to‑end ML capabilities and ensure robust data foundations across our product stack. You will work with Product, Design, Data Science, and platform teams to frame problems, define success metrics, and guide solutions from data modeling through model deployment and monitoring.

This hands‑on leadership role emphasizes setting standards, unblock teams, and delivering value without formal people management responsibilities.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Technical direction for a product ML domain: problem framing, approach selection, evaluation strategy, and iteration
  • Data and feature foundations: event/telemetry definitions, transformation logic, feature/label tables, and training/serving consistency
  • Production ML systems: deployment patterns (batch/online), model performance/latency tradeoffs, and operational readiness
  • Quality and reliability: data quality checks, model monitoring (drift/performance), alerting, and runbooks
  • Engineering standards: design reviews, code review quality, documentation, and reusable patterns for ML + data workflows
  • Mentorship and enablement: coaching engineers through complex work and unblocking delivery across teams
  • Develop, Train & Evaluate Models Build baselines and iterate on model approaches appropriate to the product problem (e.g., gradient boosting, deep learning, ranking)
  • Lead feature engineering with strong data discipline: define entities and joins, validate labels, and ensure training/serving consistency
  • Run experiments and evaluate models using sound methodology (train/validation splits, cross‑validation as appropriate, error analysis) Document findings and recommendations clearly for technical and non‑technical audiences
  • Deploy & Operate Models in Production Deploy models to production (batch and/or real‑time) with attention to latency, reliability, and cost

Skills

Applied ML fundamentals
Python
SQL
MLOps
Data platform fluency
Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Docker
Kubernetes
Airflow
dbt
Spark
PyTorch
TensorFlow

Job description

The Coca-Cola Company seeks a Tech Lead in Atlanta to drive end‑to‑end ML capabilities and ensure robust data foundations across our product stack. You will work with Product, Design, Data Science, and platform teams to frame problems, define success metrics, and guide solutions from data modeling through model deployment and monitoring.

This hands‑on leadership role emphasizes setting standards, unblock teams, and delivering value without formal people management responsibilities.

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