Qualified Applicants Opportunities Jobs in Chicago, IL

61,922 open positions · Updated daily

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.

Route Sales and Service Driver

Company:

Location: Elgin, IL

Posted Feb 03, 2025

AI Engineer

Company: DRW

Location: Chicago, IL

Posted Feb 03, 2025

Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software…

SALT Senior Tax Manager

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Pharmacy Technician

Company: CVS Health

Location: Rock Island, IL

Posted Feb 03, 2025

Financial Operations/Accounts Receivable Manager

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Financial Analysis Manager

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Senior Financial Analyst

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Maintenance Planner/Scheduler

Company:

Location: Bloomington, IL

Posted Feb 03, 2025

Sales and Service Rep (Hourly)

Company:

Location: Elgin, IL

Posted Feb 03, 2025

Maintenance Tech Senior

Company:

Location: North Riverside, IL

Posted Feb 03, 2025

Investor Relations Analyst Senior

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Production Training Group Lead

Company: Motorola Solutions

Location: Chicago, IL

Posted Feb 03, 2025

Motorola Solutions is seeking a Production Training Specialist to lead a team and optimize efficiency and quality within the Portables Value Stream. The role involves coordinating training for employees and contractors, creating training plans, and maintaining records. The ideal candidate should have experience in a Lean Manufacturing environment, training, and creating documentation in a manufacturing assembly environment. They must also be able to lift up to 50 lbs consistently, work with light fabrication equipment, and be flexible to cross-train and work various shifts. The position offers a base salary range of $36,000 to $53,900, along with comprehensive benefits including incentive bonus plans, medical, dental, and vision benefits, 401K with company match, paid holidays, generous paid time off packages, employee stock purchase plan, paid parental and family leave, and more.

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.

Related Pages