This role pays less than
88%
of similar roles. Most pay
$195,850–$254,750
— the shaded band above.
At the midpoint, this role pays about
$165k
versus about
$225k
for comparable roles.
Based on 240 similar postings.
Employer
About The Coca‑Cola Company
The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods
The Coca‑Cola Company currently has
14 open roles
on FindRole.
Listed pay typically runs
$186,500–$213,500
across 14 roles with salary data.
The Senior Manager, Application & Machine Learning Engineer joins the Product Engineering team within the Digital Product & Engineering organization to advance digital transformation by building and operationalizing intelligent applications. This role involves designing, developing, and supporting enterprise-grade products that embed artificial intelligence and machine learning into critical business domains. The individual will implement MLOps practices, manage model lifecycles, and establish reusable engineering patterns while ensuring compliance with cybersecurity and responsible AI standards. Key responsibilities include collaborating with cross-functional teams to translate business opportunities into scalable solutions and mentoring engineers in technical excellence. Required expertise includes cloud-native applications, microservices, distributed systems, and CI/CD pipelines. The role focuses on solving the challenge of integrating advanced data analytics and machine learning capabilities into production environments to improve performance, developer productivity, and overall operational efficiency across the enterprise.
Design, develop, and support enterprise-grade applications that integrate artificial intelligence and machine learning capabilities.
Implement MLOps practices to manage model deployment, monitoring, lifecycle management, and governance.
Establish reusable engineering patterns and frameworks to improve product quality and development speed.
Translate business opportunities into scalable digital solutions that deliver measurable value across the organization.
Drive engineering excellence by implementing modern software standards, testing frameworks, and automation capabilities.
Ensure all technical solutions comply with cybersecurity, privacy, and responsible AI standards.
Evaluate emerging technologies and tools to accelerate innovation while maintaining operational stability.
Mentor engineers and promote a culture of technical excellence and continuous learning.
What we're looking for
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline.
7+ years of experience in software engineering, application development, platform engineering, or digital product engineering environments.
3+ years of experience delivering machine learning or artificial intelligence solutions in production environments.
Experience developing cloud-native applications using modern architectural patterns and engineering practices.
Expertise in machine learning frameworks, model deployment, MLOps, CI/CD pipelines, automated testing, and observability.
Strong understanding of software design principles, APIs, microservices, distributed systems, and scalable application architectures.
Knowledge of responsible AI, model governance, cybersecurity, privacy, and enterprise risk management requirements.
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Distributed Systems
Data Processing Pipelines
Machine Learning
Python
Java
C++
Spark
SQL
Snowflake
Hadoop
TensorFlow
Keras
PyTorch
Generative AI
RAG
Transformer Architecture
Deep Learning
Reinforcement Learning
Recommender Systems
Natural Language Processing
Distributed Systems