Senior AI Applications Leader & ML Engineer

The Coca-Cola Company

Atlanta (GA)

On-site

USD 152,000 - 178,000

Full time

3 days ago

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Job summary

The Coca-Cola Company is seeking a Senior Manager, Application & Machine Learning Engineer to advance digital transformation by building and deploying intelligent applications across enterprise domains. You will collaborate with Product Managers, Data Scientists, Engineers, and Architects to deliver secure, scalable AI-powered products that drive growth and operational efficiency.

The role blends software engineering with ML delivery, promoting best practices, reusable patterns, and operational

Qualifications

Bachelor's degree in a technical field such as CS, SE, AI, Data Science, IT.
7+ years of software engineering or digital product engineering experience.
3+ years delivering ML/AI solutions in production.
Experience building cloud-native applications with modern architectures.
Expertise in ML deployment, model governance, and production support.
Experience implementing MLOps, CI/CD, testing, observability, and deployment.
Strong knowledge of APIs, microservices, distributed systems, and scalable architectures.
Experience collaborating in product-centric, agile teams.
Understanding of responsible AI, cybersecurity, privacy, and risk management.
Ability to influence technical decisions and work with cross-functional teams.
Excellent communication, digital/AI fluency, and passion for improvement.

Responsibilities

Design, develop, deploy, and support enterprise-grade AI-enabled applications.
Embed AI features with Product Engineering, Data, Platform, and Architecture teams.
Implement modern software standards, testing, and automation practices.
Build and manage ML solutions scalable across use cases and domains.
Promote reusable engineering patterns and components for quality and speed.
Translate business opportunities into scalable digital solutions with measurable value.
Implement MLOps practices for model deployment, monitoring, and governance.
Contribute to strategy by improving performance, productivity, and platform capabilities.
Ensure compliance with cybersecurity, privacy, and enterprise standards.
Mentor engineers and foster a culture of technical excellence.