The Coca-Cola Company
The Coca-Cola Company

Data/Machine Learning Engineer II

Atlanta, GA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
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Job Details

Skills

  • Digital Strategy
  • IT Management
  • Analytical Skill
  • Software Development
  • Web Applications
  • HTML
  • Cascading Style Sheets
  • Spring Framework
  • Python
  • .NET
  • Customer Relationship Management (CRM)
  • Database
  • System Integration
  • API
  • Authentication
  • Authorization
  • Forecasting
  • Deep Learning
  • Computer Vision
  • Salesforce.com
  • Mobile Applications
  • Data Validation
  • Production Engineering
  • Machine Learning Operations (ML Ops)
  • Lifecycle Management
  • Data Quality
  • Scalability
  • Continuous Improvement
  • Application Development
  • Enterprise Software
  • Java
  • C#
  • JavaScript
  • TypeScript
  • Web Development
  • React.js
  • SQL
  • Relational Databases
  • Microsoft SQL Server
  • scikit-learn
  • XGBoost
  • PyTorch
  • TensorFlow
  • Machine Learning (ML)
  • Automated Testing
  • Production Support
  • Software Engineering
  • Testing
  • Debugging
  • Collaboration
  • Data Architecture
  • GitHub
  • Terraform
  • Data Modeling
  • Cloud Computing
  • Cosmos-Db
  • Amazon DynamoDB
  • Databricks
  • Data Lake
  • Amazon Redshift
  • Microsoft Azure
  • Scrum
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Git
  • Version Control
  • Innovation
  • Network
  • Emerging Technologies
  • Agile
  • Management

Summary

Our view of digital is one of an integrated ecosystem of platforms that create value across the digital and physical world. Our digital strategy creates value not only for our consumer and customers but across our organization and system. As the Lead Data Engineer, you will be a technical lead for data products and subject matter expert to a team of data engineers. The successful candidate should be an analytical thinking, self-learner, and be able to lead a team through proactive solution development. If you have a passion for innovation, be at the forefront of our iconic digital transformation.

What You'll Do for Us
  • Design and develop scalable web applications using React, TypeScript/JavaScript, HTML, and CSS.
  • Build backend services and REST APIs using technologies such as Java/Spring Boot, Python, .NET, or equivalent.
  • Design and develop integrations among Salesforce, web and mobile applications, CRM platforms, databases, and enterprise systems.
  • Work with relational databases such as SQL Server, including data modeling, queries, and application integration.
  • Build secure API-driven solutions using modern authentication and authorization patterns.
  • Data & Machine Learning Engineering
    • Work with data from enterprise data platforms, customers, and external data providers to develop intelligent product capabilities.
    • Develop data preparation, transformation, and feature engineering pipelines.
    • Build predictive, classification, ranking, recommendation, segmentation, or forecasting models based on business requirements.
    • Evaluate when to use traditional machine learning versus advanced techniques such as deep learning, transformers, computer vision, embeddings, vector search, or RAG.
    • Develop batch or online model inference pipelines and services.
    • Expose model predictions and recommendations through APIs for consumption by Salesforce, CRM, web, and mobile applications.
    • Implement model and data validation, automated testing, and quality controls.
  • Production Engineering & MLOps
    • Build CI/CD pipelines for application and machine learning workloads.
    • Support experiment tracking, model versioning, deployment, and lifecycle management.
    • Monitor applications and models for availability, performance, data quality, and model degradation or drift.
    • Support production solutions and troubleshoot issues across systems.
    • Improve scalability, reliability, security, observability, and maintainability.
    • Own capabilities throughout their lifecycle, from requirements through production support and continuous improvement.

Qualification & Requirements
  • 5-10 years of professional software engineering experience, with experience spanning application development, data, or machine learning systems.
  • Strong programming experience iat least one enterprise application development language such as Pyton, Java, C#, or equivalent.
  • Strong experience with JavaScript/TypeScript and modern web development.
  • Hands-on experience with React or a comparable modern frontend framework.
  • Experience designing and developing REST APIs and backend services.
  • Strong SQL skills and experience with relational databases such as SQL Server.
  • Experience developing data pipelines, transforming datasets, and performing feature engineering.
  • Practical experience developing machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or equivalent.
  • Experience taking machine learning solutions beyond experimentation into production inference.
  • Experience integrating multiple enterprise systems using APIs and modern integration patterns.
  • Experience with automated testing, containers, monitoring, and production support.
  • Strong software engineering fundamentals including modular design, testing, code reviews, debugging, and maintainability.
  • Ability to work across Product, Data, Architecture, Business, and Engineering teams to translate requirements into production solutions.
  • Experience using CI/CD tools - GitHub, GoCD, Terraform and/or Azure DevOps
  • Solid knowledge about data modeling and architecture
  • Knowledge with developing applications using public cloud, preferably Azure, specially focused in Data Services (CosmosDB, DynamoDB, Databricks, Glue, DataLake, Redshift, Azure Synapse etc.)
  • Understand Agile Scrum, CI/CD, DevOps best practices
  • Solid understanding of Git-based version control

What We Can Do For You
  • Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
  • Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
  • Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate and innovate.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-147097
  • Posted 3 hours ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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