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.

Pharmacist Centralized Services Work From Home - NY

Company: WALGREENS

Location: Deerfield, IL

Posted May 28, 2025

Current Pharmacist license as granted by the appropriate state licensing authority. Willing to travel up to 10% of the time for business purposes (within state…

Field Service Technician (Injection Molding)

Company: Accelera

Location: Elk Grove Village, IL

Posted May 27, 2025

Valid passport and driver's license with a clean driving record. Strong electrical and hydraulic troubleshooting skills; ability to read schematics.

Senior Project Manager - JOC Projects - Chicago

Company: Michael Page

Location: Chicago, IL

Posted May 28, 2025

Monitor project progress and make necessary adjustments to ensure successful project completion. Maintain accurate project documentation, including project…

Security and Facilities Lead

Company: KITH

Location: Chicago, IL

Posted May 27, 2025

Handles undesired conduct, violations of building policy and civil laws as warranted for the security and safety of guests, employees, patrons, and property.

Metal Stamping Press Operator/Die Setter

Company: Weiss-Aug – Elk Grove Village, IL

Location: Elk Grove Village, IL

Posted May 24, 2025

Inspect work pieces for conformance to specifications, using micrometer or other measuring instruments to verify workmanship standards.

Project Manager

Company: Keller North America, Inc.

Location: Chicago, IL

Posted May 24, 2025

Assembles proposals which includes performing risk assessment, evaluating opportunities to increase profit, estimating, engineering, technical writing, site…

Security & Safety Officer - Evening Shift

Company: Loyola University Health System

Location: Berwyn, IL

Posted May 27, 2025

General - Valid Illinois driver's license. Specify Degree(s): Criminal Justice, Law Enforcement, Security Admin, Fire Services or related field.

Data Scientist 1

Company: PayPal

Location: Chicago, IL

Posted May 27, 2025

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account…

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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