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Director Aws Machine Learning Jobs in Chicago, IL

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures . This role involves building enterprise AI solutions ...

Director - AWS Platform Services

Chicago, IL · On-site

$66.75 - $87.50/hr

We are seeking a Director to lead and scale our strategic partnership with Amazon Web Services (AWS ... Foster a culture of technical excellence, innovation, and continuous learning Qualifications * 12 ...

Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop scalable and efficient machine learning solutions for millions of users. * Create automated data and ...

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... AWS cloud infrastructure. - Top priority is a solid engineering experience. - Seems to value ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop scalable and efficient machine learning solutions for millions of users. * Create automated data and ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop scalable and efficient machine learning solutions for millions of users. * Create automated data and ...

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits ... Top Skills Details sagemaker,AWS,Python,SQL Experience building ML systems such as: - ML pipelines ...

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Azure, AWS, GCP and/or Databricks and associated ML managed services. Professional Skills * You ... our direct control. Should the project related to this vacancy be significantly altered or ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

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Showing results 1-20

Director Aws Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

How much do director aws machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for director aws machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

How much does a director of AWS machine learning make?

A director of AWS machine learning typically earns between $150,000 and $250,000 annually, depending on experience, location, and company size. They often have advanced skills in cloud services, machine learning frameworks, and leadership, which influence compensation levels.
What are the most commonly searched types of Aws Machine Learning jobs in Chicago, IL? The most popular types of Aws Machine Learning jobs in Chicago, IL are:
Infographic showing various Director Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $94,704 per year, or $45.5 per hour.

AWS + Generative AI Engineer

TekCommands Inc

Chicago, IL • On-site

$66.75 - $87.50/hr

Contractor

Posted 28 days ago


Job description

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.

Top 3 Required Skills

  1. AWS Cloud & Machine Learning
  2. AWS Bedrock & Generative AI
  3. AWS Data Pipelines & Infrastructure Automation

Key Responsibilities

  • Design and develop cloud-native applications using AWS services.
  • Build and deploy Generative AI solutions using AWS Bedrock.
  • Design and implement machine learning workflows, model deployment, and monitoring.
  • Develop scalable data pipelines for analytics and AI workloads.
  • Configure and manage AWS Config and governance policies to ensure security and compliance.
  • Design secure, reliable, and cost-effective AWS architectures.
  • Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
  • Implement Infrastructure as Code (IaC) and cloud automation.
  • Optimize AWS environments for performance, scalability, and cost.
  • Document architecture, technical designs, and best practices.
  • Mentor engineering teams on AWS and Generative AI technologies.

Required Skills

  • 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
  • Strong hands-on experience with Amazon Web Services (AWS).
  • Experience with:
    • AWS Bedrock
    • AWS Machine Learning Services
    • AWS Data Pipeline or similar orchestration tools
    • AWS Config
  • Strong knowledge of Generative AI and Large Language Models (LLMs).
  • Experience designing cloud-native and distributed applications.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Strong understanding of cloud security, governance, and identity management.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with AWS-based commerce platforms.
  • Knowledge of AI/ML model deployment and lifecycle management.
  • Experience with cloud automation and DevOps practices.
  • Experience with Python or other scripting languages.

Certifications

  • AWS Certified Solutions Architect – Professional or
  • AWS Certified Machine Learning – Specialty or equivalent AWS certification