Top 280 Deep learning engineer Jobs in Illinois

CI/CD DevOps Engineer
Streamline Healthcare Solutions —Oak Brook, IL
- $110,000 - $165,000 a year
- Full-time
- Azure
- 5 years
- Data analysis skills
10d
Staff Machine Learning Engineer - Leasing
AppFolio —Chicago, IL
- $200,000 - $250,000 a year
- Full-time
- System design
- Senior level
- Leadership
Machine Learning Engineer
Molex —Lisle, IL
- $170,000 - $250,000 a year
- Pass drug screening
- Senior level
- Leadership
- Paid parental leave
- Health savings account
3d
Vice President, AI Engineering
Alight —Illinois
- $265,000 - $290,000 a year
- Remote
- Background check
- Pass drug screening
- Criminal background check
- Health insurance
- Dental insurance
9d
Engineer II, Software
Shure —Niles, IL
- $90,600 - $145,000 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Mid-level
- Health insurance
- Paid time off
System Architect Director - AI Platform Engineering
CNA Insurance —Chicago, IL
- $97,000 - $189,000 a year
- Full-time
- Hybrid work
- Computer science
- Product management
- Senior level
Sr. Systems Engineer 2 - Azure Cloud Platform
Exelon —Oakbrook Terrace, IL
- $117,600 - $161,700 a year
- Full-time
- Computer Science
- Office
- SQL
- Disability insurance
- Health insurance
2d
AI & Machine Learning Engineer
Lightspeed —Northbrook, IL
- Full-time
- Computer Science
- System design
- Mid-level
Quick Apply
Machine Learning Engineer
FloVision Solutions —Chicago, IL
- $90,000 - $115,000 a year
- Remote
- Azure
- Computer Science
- SQL
- Health savings account
- Health insurance
Quick Apply
4d
AI Engineer/Data Scientist
SPR —Chicago, IL
- $145,000 - $190,000 a year
- Computer Science
- 3 years
- Senior level
- AD&D insurance
- Paid holidays
Senior Data Engineer
Epsilon —Chicago, IL
- $88,900 - $165,100 a year
- Email
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Commuter assistance
- Paid holidays
Software Development Engineer (Backend)
4C Insights —Chicago, IL
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
AI Engineer - Enterprise Business Systems
Epsilon —Chicago, IL
- $73,500 - $136,500 a year
- Email
- Hybrid work
- Azure
- Computer Science
- AWS
- Commuter assistance
- Paid holidays
Founding Staff AI Engineer
Qumis —Chicago, IL
- $150,000 - $250,000 a year
- Full-time
- Hybrid work
- 6 years
- Office
- Analysis skills
- Commuter assistance
- Health savings account
Sr. Software Engineer (Remote)
Inspira Financial Trust, LLC —Oak Brook, IL
- $107,000 - $137,000 a year
- Overtime
- Remote
- Azure
- Computer Science
- 5 years
- Health savings account
- Paid holidays
Trading Engineer - Strategy
IMC Financial Markets —Chicago, IL
- $175,000 - $225,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
Software Development Engineer (Fullstack)
4C Insights —Chicago, IL
- Full-time
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Associate, Frontend Software Engineer (React)
BlackRock Investments —Chicago, IL
- $120,000 - $148,000 a year
- Hybrid work
- Office
- Analysis skills
- Children
- Health insurance
- Tuition reimbursement
Site Reliability Engineer
Tempus —Chicago, IL
- $85,000 - $130,000 a year
- Full-time
- Azure
- HIPAA
- Senior level
- Health insurance
AI Engineer
Havi Supply Chain —Chicago, IL
- $105,000 - $125,000 a year
- Online Application
- Hybrid work
- Computer Science
- DevOps
- Mid-level
- Profit sharing
- Paid parental leave

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deep learning engineer jobs near illinois

CI/CD DevOps Engineer

Streamline Healthcare Solutions -
Oak Brook, IL

Apply Now

Job Details

Full-time
$110,000 - $165,000 a year
10 days ago

Qualifications

Containerization systems
System troubleshooting
Tooling
Infrastructure as Code (IaC)
Collaboration with product development teams
Cloud automation
DevOps automation
SaaS

Full Job Description

Job Description:

About Streamline Healthcare Solutions

Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar.

Streamline’s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organization’s to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology.

Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry.

Summary of the CI/CD DevOps Engineer

We are seeking a DevOps Engineer to design, build, and operate the CI/CD pipelines, build systems, and release automation that power our cloud-first, SaaS-based product portfolio. This is a hands-on engineering role focused on turning manual, legacy release processes into automated, secure, and repeatable delivery workflows.

The ideal candidate is a strong individual contributor with deep practical expertise in modern CI/CD tooling, Infrastructure-as-Code, containerization, and cloud-native automation. You will work closely with development teams to reduce build friction, harden pipelines, and shorten the path from code commit to production.

Experience working in regulated environments such as healthcare, HIPAA, SOC 2, or NIST is preferred.

The salary range for this position is $110,000 - $165,000 per year DOE. Employment visa sponsorship is not available for this position.

Key Responsibilities

CI/CD Pipeline Engineering

Design, build, and maintain CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, Jenkins, or similar platforms.

Implement pipeline-as-code, reusable deployment templates, and standardized build patterns that engineering teams can adopt with minimal friction.

Automate build validation, unit and smoke test execution, artifact versioning, and quality gates within pipelines.

Troubleshoot and resolve build failures, pipeline performance issues, and flaky automation across distributed engineering teams.

Continuously optimize pipeline speed, reliability, and cost.

Build & Artifact Management

Own build system configuration, dependency management, and artifact repositories, ensuring builds are reproducible and traceable.

Implement versioning strategies, artifact promotion workflows, and retention policies across environments.

Maintain container image build processes using Docker, including base image management and image scanning.

Ensure build infrastructure is scalable, observable, and resilient for large distributed SaaS engineering teams.

Release Automation & Environment Support

Automate deployment workflows across development, test, staging, UAT, and production environments, including environment promotion and rollback procedures.

Implement progressive delivery mechanisms such as feature flags, canary releases, blue/green deployments, and automated release gates.

Build automated smoke testing, deployment validation, and post-release verification into release workflows.

Support release execution for multi-service, multi-environment, and multi-tenant SaaS deployments.

Improve tooling that gives teams visibility into release status, build versions, and deployment dependencies.

Security & Compliance Automation

Integrate DevSecOps tooling into pipelines, including static analysis, dynamic testing, dependency scanning, secrets management, and vulnerability detection.

Implement software supply chain controls such as artifact signing, access governance, approval workflows, and secure pipeline design.

Ensure builds and releases are auditable and traceable in line with SOC 2, HIPAA, NIST, or similar frameworks.

Remediate pipeline security findings and keep build tooling patched and compliant.

Observability & Operational Support

Instrument build and release systems with metrics, logging, and alerting using platforms such as Dynatrace, Datadog, Splunk, Prometheus, or Grafana.

Maintain operational runbooks and playbooks for build and release activities, and participate in incident response for delivery-related issues.

Use pipeline and deployment data to identify bottlenecks, reduce failure patterns, and improve delivery performance.

Monitor and optimize the cost and utilization of build infrastructure and automation platforms.

Required Qualifications

5–10 years of hands-on experience in build engineering, release engineering, DevOps, platform engineering, or cloud engineering.

Deep, practical expertise with CI/CD tooling such as GitHub Actions, Azure DevOps, Jenkins, GitLab CI/CD, or comparable platforms.

Strong experience with Infrastructure-as-Code and automation technologies such as Terraform, ARM/Bicep, Ansible, PowerShell, or similar tools.

Solid working knowledge of containerization and orchestration technologies such as Docker and Kubernetes.

Strong experience with cloud platforms, preferably Microsoft Azure; AWS or Google Cloud experience is also valuable.

Proficiency in scripting and automation languages such as PowerShell, Bash, Python, or similar.

Experience with build systems, dependency management, artifact repositories, and versioning strategies in large-scale SaaS environments.

Demonstrated ability to troubleshoot complex build, deployment, and environment issues independently.

Strong collaboration and communication skills for working with distributed development, QA, security, and operations teams.

Preferred Qualifications

Experience working in regulated environments such as healthcare, HIPAA, SOC 2, NIST, or similar compliance-driven industries.

Experience building or contributing to internal developer platforms or self-service engineering capabilities.

Familiarity with feature management and progressive delivery tooling such as LaunchDarkly or similar platforms.

Experience with observability platforms such as Dynatrace, Datadog, Splunk, Prometheus, Grafana, or similar tools.

Experience integrating security controls, compliance validation, and software supply chain protection into CI/CD pipelines.

Background using AI-assisted development, code review, pipeline optimization, or automation tools to improve engineering productivity.

Key Success Metrics

Reduced build failures, pipeline flakiness, and release-related incidents.

Faster build and pipeline execution times with improved reliability.

Increased automation coverage across build, deployment, validation, and rollback workflows.

Adoption of reusable pipeline templates and pipeline-as-code practices by engineering teams.

Improved security posture within pipelines, including vulnerability detection, secrets management, and artifact integrity.

Equal Opportunity Statement

Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

Apply Now

Refine Your Search

deep learning engineer jobs in illinois

CI/CD DevOps Engineer

Staff Machine Learning Engineer - Leasing

Machine Learning Engineer

Vice President, AI Engineering

Engineer II, Software

System Architect Director - AI Platform Engineering

Sr. Systems Engineer 2 - Azure Cloud Platform

AI & Machine Learning Engineer

Machine Learning Engineer

AI Engineer/Data Scientist

Senior Data Engineer

Software Development Engineer (Backend)

AI Engineer - Enterprise Business Systems

Founding Staff AI Engineer

Sr. Software Engineer (Remote)

Trading Engineer - Strategy

Software Development Engineer (Fullstack)

Associate, Frontend Software Engineer (React)

Site Reliability Engineer

AI Engineer