Position Overview:

As a Machine Learning Engineer, you will work with Data Scientists and Data Architects to translate prototypes into scalable solutions. You will build, ship, run and monitor Coca-Cola’s global ML & AI solutions bridging the gap between Data Scientists and Operations. You will ensure that models conform to the ML strategy and guidance established by the Coca-Cola Data Science team. You should be proficient at building, training, deploying, and monitoring ML models on the Azure platform including Azure Machine Learning service and Synapse.

 

What You’ll Do for Us:

  • Partner with Data Science organization to scale & operationalize ML & AI use-cases for both batch and real-time.
  • Execute ML & AI engineering strategy, roadmap, architecture, and patterns as defined by Data Science and Engineering team.
  • Comply with ML standards, guidelines, and best practices for business and technical teams laid out by Data Science organization and participate in discussions to improve standards/guidelines/best practices.
  • Deploy and monitor models to in real-time and batch (Azure Databricks).
  • Leverage CI and CD principles to automate and improve repeatability of deployments.
  • Build reusable libraries to streamline and speed up work of Data Scientists.
  • Modularize code to separate feature engineering and populate feature factory.
  • Maintain accurate and complete technical architectural documents.
  • Ensure conceptual and architectural integrity of the platform and solution.
  • 100% hands-on development.
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What We Can Do for You:

  • Leadership Development: Our Company’s purpose clearly speaks to the importance of leadership. We feel everyone has potential to be a great leader at Coca-Cola and have set the bar high.  
  • Total Rewards: Our benefits, called Total Rewards, is about the total value of working at The Coca-Cola Company. It is focused on the complete package of pay, benefits, learning and personal support you receive as a Coca-Cola employee.   
  • Learning & Development: At The Coca-Cola Company we believe innovation can't happen without continuous learning and we provide our employees many ways to grow professional and personally.  

Qualifications & Requirements:

  • Bachelor’s Degree or higher in Computer Science, Data Science, or related technical discipline.
  • 1+ years of experience in ML Lifecycle using Azure ML (or equivalent) building datasets, ML pipelines, experiments, logging, and monitoring.
  • 2+ years of experience in an execution role engaging with Data Scientists to deliver large scale analytics solutions and projects.
  • 2+ years of experience in data engineering using Spark (Scala, PySpark, Pandas etc.)
  • Knowledge of machine learning model training, building, algorithm selection and interpretability.
  • Experience in building and managing streaming and batch inferencing.
  • Good to have: Experience with Azure Data Platform including Azure Synapse, Azure SQL, Cosmos DB, Event Hubs, and Service Bus.
  • Good to have: GitHub experience – ability to utilize CI/CD paradigm.
  • Good to have: Agile/Scrum operating experience using Azure DevOps.
  • Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence.
  • Experience with other public cloud ML solutions.

 

Technical Skills
Spark
Azure
Data Science (Hadoop, R)
Python
Is a Remote Job?
Hybrid (Remote with required office time)
Employment Type
Full time

The Coca-Cola Company (NYSE: KO) is a total beverage company, offering over 500 brands in more than 200 countries and territories.

In addition to the company’s Coca-Cola brands, our portfolio includes...

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