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.

Manager Information Security

Company: Discover

Location: Riverwoods, IL

Posted Feb 03, 2025

Team Manager

Company:

Location: Wheaton, IL

Posted Feb 03, 2025

Corporate Chef, Innovation - Away From Home

Company: Kraft Heinz

Location: Chicago, IL

Posted Feb 03, 2025

The Corporate Chef role at Kraft Heinz's Away From Home business involves shaping and executing culinary strategy, collaborating with the Sales team, and engaging with food professionals to drive business growth. Key responsibilities include creating product formulas, translating market trends into food concepts, leading professional culinary sessions, and managing key accounts. The ideal candidate should have a culinary or food science degree, 5-7 years of commercial culinary experience, and strong communication skills. The role requires travel up to 30% of the time and offers a competitive salary with performance-based bonuses and comprehensive benefits.

Verizon Sales Consultant

Company:

Location: Woodstock, IL

Posted Feb 03, 2025

Vehicle Delivery Driver

Company: CarMax

Location: Schaumburg, IL

Posted Feb 03, 2025

RN - Home Health - PRN

Company:

Location: Springfield, IL

Posted Feb 03, 2025

PT Support Associate

Company: Tory Burch

Location: Skokie, IL

Posted Feb 03, 2025

Senior Finance Manager, M&A integration & Separation Management

Company: Kraft Heinz

Location: Chicago, IL

Posted Feb 03, 2025

Kraft Heinz is offering a Senior Finance Manager position for Integration and Separation Management in their M&A Department. The role involves liaising with buyers and sellers, managing deal timelines, mobilizing cross-functional teams, and supporting quality management activities. The ideal candidate should have a Bachelor's Degree, minimum 5 years of project management experience, strong financial acumen, and excellent communication skills. The company provides a comprehensive total rewards package, including healthcare benefits, wellbeing programs, and a performance-based bonus. The position is based in the Chicago office.

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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