Ai-Enhanced Technology Jobs in Chicago, IL

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Looking for Ai-Enhanced Technology jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the Chicago, IL area.

Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Arlington Heights, IL

Posted Jan 25, 2025

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Senior Consultant

Company: Infosys

Location: Chicago, IL

Posted Jan 25, 2025

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Lead Cook

Company: Sodexo

Location: O'Fallon, IL

Posted Jan 25, 2025

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Supervisor, Production

Company: Sysco

Location: West Dundee, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Rockford, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Quincy, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Chicago, IL

Posted Jan 25, 2025

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Equipment Service Technician - PEORIA/BLOOMINGTON

Company: Coca-Cola

Location: Peoria, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Park Ridge, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Manager, Sales Development

Company: Flexport

Location: Chicago, IL

Posted Jan 25, 2025

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daily support liaison strong computer skills knowledge of SQL

Operations Associate

Company: Wolverine Trading

Location: Chicago, IL

Posted Jan 25, 2025

The job posting is for a role that involves daily support liaison with a clearing firm and trading group, including checking trades, resolving discrepancies, and reconciling trading position balances. The role also involves communicating with traders, checking trading positions, and working closely with related parties to resolve internal issues. The ideal candidate should have a Bachelor's degree, strong computer skills, knowledge of SQL, strong attention to detail, and excellent communication skills. Wolverine Trading offers a competitive salary, benefits, and opportunities for professional development. The company culture is team-oriented, with a flat organizational structure, and offers various perks such as free meals, an onsite gym, and company outings.

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Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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