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.

travel

Travel Nurse RN - Neuro PCU - Progressive Care Unit - $1,963 per week

Company: PHP

Location: Chicago, Illinois

Posted Feb 08, 2025

View Details Apply on healthecareers.com

Career Educator at CDLC of Westmont

Company: KinderCare Learning Companies

Location: Downers Grove, IL

Posted Feb 08, 2025

View Details Apply on The Muse
travel

Travel Nurse RN - OR - Operating Room - $3,200 per week

Company: Talent4Health

Location: chicago, Illinois

Posted Feb 08, 2025

View Details Apply on healthecareers.com
travel

Travel Echo Technologist - $2,095 per week

Company: FlexCare Allied

Location: Chicago, Illinois

Posted Feb 08, 2025

View Details Apply on healthecareers.com
hospital part time full time

Travel Nurse RN - ICU - Intensive Care Unit - $2,134 per week

Company: Supplemental Health Care

Location: Chicago, Illinois

Posted Feb 09, 2025

View Details Apply on healthecareers.com
private practice hospital travel

Travel Registered Respiratory Therapist - $2,340 per week

Company: Cross Country Allied

Location: Chicago, Illinois

Posted Feb 08, 2025

View Details Apply on healthecareers.com

Veterinarian

Company: Banfield Pet Hospital

Location: Mount Prospect, IL

Posted Feb 08, 2025

View Details Apply on The Muse

Sales Leader

Company: CN

Location: Homewood, IL

Posted Feb 08, 2025

View Details Apply on The Muse

Verizon Sales Consultant

Company:

Location: Chicago, IL

Posted Feb 08, 2025

View Details Apply on The Muse
travel health insurance retirement plan

Travel Surgical Technologist - $1,626 per week

Company: IDR Healthcare

Location: Chicago, Illinois

Posted Feb 08, 2025

View Details Apply on healthecareers.com

Assistant Manager - Randall Square S/C

Company: Gap Inc.

Location: St. Charles, IL

Posted Feb 08, 2025

View Details Apply on The Muse

BCG Platinion | Senior MarTech IT Architect

Company: Boston Consulting Group

Location: Chicago, IL

Posted Feb 09, 2025

Bachelor’s degree in information technology, marketing, business administration, computer science, information systems, or system controls & engineering or a…

View Details Apply on SimplyHired

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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