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Machine Learning Manager Jobs in Oakbrook Terrace, IL

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Machine Learning Manager information

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$51.3K

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How much do machine learning manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning manager in Oakbrook Terrace, IL is $82,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $93,000.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are popular job titles related to Machine Learning Manager jobs in Oakbrook Terrace, IL?

For Machine Learning Manager jobs in Oakbrook Terrace, IL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Oakbrook Terrace, IL look for?

The top searched job categories for Machine Learning Manager jobs in Oakbrook Terrace, IL are:

What cities near Oakbrook Terrace, IL are hiring for Machine Learning Manager jobs?

Cities near Oakbrook Terrace, IL with the most Machine Learning Manager job openings:

Machine Learning Engineer/SRE-Remote

Georgia IT, Inc.

Chicago, IL • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Georgia IT, Inc. is seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be responsible for managing Azure infrastructure for AI model development and deployment, monitoring model performance, and responding to outages related to model operations.
Responsibilities:
• Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance.
• Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise.
• Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution.
Qualifications:
Required:
• Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
• Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
• Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
• Proficient in building and optimizing machine learning models, with a deep understanding of various Client algorithms and frameworks.
• Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch.
• Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
• Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
• Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.
Preferred:
• Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning).
• Experience with CI/ CD tools to deploying Client services and applications specific to Azure cloud platform.
• Familiarity with DevOps practices and tools for automating infrastructure and deployments.
• Knowledge of model versioning and model management tools.
• Understanding of security best practices in AI model deployment.
• Certifications in relevant areas, such as Azure certifications or machine learning certifications.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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