Qualified Applicants Opportunities Jobs in Chicago, IL

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Looking for Qualified Applicants Opportunities jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Chicago, IL area.

Life-Skills Special Education Teacher

Company: The Menta Education Group

Location: Chicago, IL

Posted Apr 21, 2025

Professional Educator's License (PEL) with LBS1 (Special Education Teacher) certification or PEL with Secondary Education and a desire to obtain your Special…

Tax Senior - Financial Services Organization - State and Local Tax - Real Estate

Company: EY

Location: Chicago, IL

Posted Apr 20, 2025

A CPA certification, or good standing as a member of a state bar. Staying abreast of state & local tax developments and work to develop new and innovative…

Logistics Customer Service Representative

Company: MSC Mediterranean Shipping Company S.A.

Location: Chicago, IL

Posted Apr 25, 2025

Prolonged periods sitting at a desk and working on a computer. Additionally, maintaining accurate logs of all transactions in the company's systems is crucial…

Customer Service Representative

Company: Avenica

Location: Elmhurst, IL

Posted Apr 24, 2025

Have a valid driver’s license and acceptable driving record. Have 1+ year of customer service experience. Assisting with billing questions, scheduling sales and…

TIG Welder - SS Welding - Apply in person

Company: Cozzini LLC

Location: Elk Grove, IL

Posted Apr 23, 2025

You will use hand welding and flame-cutting equipment to weld together Stainless Steel components and parts or to cut, trim, or scarf metal objects to…

Corporate Tax Accountant

Company: Expansive

Location: Chicago, IL

Posted Apr 24, 2025

Maintain compliance with all multi-state income and franchise tax requirements, including entity-related taxes as well as payroll / employer / employee-related…

Sous Chef

Company: Shaw's Crab House

Location: Schaumburg, IL

Posted Apr 24, 2025

Use tact and good judgment when dealing with challenges pertaining to guests, vendors and employees, and respond with patience and courtesy.

Manager, Ontology & Data Modeling

Company: Capital One

Location: Chicago, IL

Posted Apr 22, 2025

Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support…

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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