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.

Client Service Representative

Company: Viking Gymnastics

Location: Niles, IL

Posted Mar 26, 2025

Our reception staff must consistently greet clients, answer telephones, offer assistance, use professional verbiage, and always make themselves available to the…

Fireproofer

Company: Southwest Coating Services

Location: Chicago, IL

Posted Mar 31, 2025

Reliable vehicle, valid driver's license and proof of insurance. 401K matching after 6 months of employment. Proof of citizenship or ability to work in the U.S.…

Creatio Developer and Implementation Specialist

Company: Velvetech

Location: Chicago, IL

Posted Apr 02, 2025

GROWTH opportunities, skills and competencies improvement, and professional certification. Provide training and support to clients during and after the…

Analyst, Client Service Representative- Transaction Banking

Company: MUFG Bank, Ltd.

Location: Chicago, IL

Posted Apr 01, 2025

Further a culture of risk and compliance discipline, which includes, but is not limited to, maintaining compliance with Bank and business process-related…

Commercial Floor Coating Installer

Company: Southwest Coating Services

Location: Bridgeview, IL

Posted Mar 31, 2025

Reliable vehicle, valid driver's license and proof of insurance. The ideal candidate will have experience in concrete floor restoration, concrete repair and…

Carpenter

Company: Kehoe Designs Inc

Location: Chicago, IL

Posted Apr 02, 2025

Proficient in using a variety of hand tools (hammers, screwdrivers, drills, staple guns, tape measure) and power tools (table saw, jigsaw, chop saw, router,…

VP, Quantitative Python Developer

Company: BlackRock Investments

Location: Chicago, IL

Posted Mar 25, 2025

Education: Bachelor's degree in a STEM field with significant focus on programming (Graduate degree preferred).

Project Manager, Construction

Company: Wheatland Tube, LLC

Location: Chicago, IL

Posted Apr 03, 2025

Leads cross-functional teams, including construction, logistics, design/engineering, and manufacturing groups – Coordinates all stakeholders for seamless…

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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