Challenging Opportunities For You To Learn And Grow Professionally Jobs in Chicago, IL

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the Chicago, IL area.

Specialist Customer Experience

Company: Lakeshore Recycling Systems LLC

Location: Rosemont, IL

Posted May 19, 2025

Handle incoming calls (orders, inquiries, complaints, etc.) and direct calls for further problem resolution if necessary. High School Diploma or GED.

Executive Chef

Company: Aramark

Location: Chicago, IL

Posted May 19, 2025

Interact directly with guests daily. Develop and maintain effective client and guest rapport for mutually beneficial business relationships.

Extrusion Machine Operator

Company: Accelera

Location: Franklin Park, IL

Posted May 16, 2025

Knowledge of product quality standards and measurement tools. Experience operating and troubleshooting production machinery. 401K with a 6% company match.

Lead Data Science Product Mgr

Company: Health Care Service Corporation

Location: Chicago, IL

Posted May 18, 2025

Bachelors degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field…

Maintenance Associate

Company: Accelera

Location: Franklin Park, IL

Posted May 16, 2025

As an Industrial Electrician (also known as a Maintenance Electrician or Electrical Technician), you will be responsible for diagnosing, troubleshooting, and…

Sr. Mgr, Software Engineering

Company: Capital One

Location: Chicago, IL

Posted May 19, 2025

Experience leading teams through ambiguity by driving technical design and delivery decisions. Capital One will consider for employment qualified applicants…

Senior Manager, Software Engineer (People Leader)

Company: Capital One

Location: Chicago, IL

Posted May 19, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

Armed Security Officer/Driver

Company: Kates Detective Agency

Location: Chicago, IL

Posted May 17, 2025

Remain in compliance with local, state, and federal regulations. Clean driving record/No tickets or moving Violations. Salary Range: $18.00 - $18.00 Hourly.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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