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Deep Learning Ai Jobs in Bridgeview, IL (NOW HIRING)

Hoplon InfoSec, LLC

Senior AI/ML Engineer

Oak Brook, IL · On-site

$140 - $190/hr

Design, train, evaluate, and fine-tune machine learning and deep learningmodels for complex real ... AI. * CoreLanguages: Fluency inPython and strong expertise with modern ML frameworks (PyTorch ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Utilize knowledge of classical machine learning and deep learning algorithms to address specific problem domains. Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Powered by AI-driven smart matching technology, the company actively connects millions of all-sized ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Powered by AI-driven smart matching technology, the company actively connects millions of all-sized ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Powered by AI-driven smart matching technology, the company actively connects millions of all-sized ... Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or ...

New

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

... deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks). * Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

... deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks). Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms ...

UnitedHealth Group

Sr. AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$102K - $140K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental ... Collaborate on AI solution architecture and design with Enterprise Architecture, core capability ...

UnitedHealth Group

Sr. AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$102K - $140K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental ... Collaborate on AI solution architecture and design with Enterprise Architecture, core capability ...

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Showing results 41-60

All JobsDeep Learning Ai JobsDeep Learning Ai Jobs in Bridgeview, IL

Deep Learning Ai information

See Bridgeview, IL salary details

$11.2K

$85.7K

$143K

How much do deep learning ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for deep learning ai in Bridgeview, IL is $85,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $141,900.00 per year, depending on experience, location, and employer.

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What cities near Bridgeview, IL are hiring for Deep Learning Ai jobs?

Cities near Bridgeview, IL with the most Deep Learning Ai job openings:

Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in Bridgeview, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $85,663 per year, or $41.2 per hour.

Senior AI/ML Engineer

Hoplon InfoSec, LLC

Oak Brook, IL • On-site

$140 - $190/hr

Other

Posted 14 days ago

Job description

EmployeeStatus: Full-time (40hours per week)

StartingDate: Immediately

About theRole

We are lookingfor a Senior AI/ML Engineer with 5+ years of hands-on experiencedesigning, building, and deploying production-grade machine learning models andAI systems. In this role, you will lead the end-to-end development of MLpipelines, from raw data exploration and model architecture design to scalable,low-latency API deployment and real-time monitoring.

Data Management KeyResponsibilities
  • ModelDevelopment & Optimization: Design, train, evaluate, and fine-tune machine learning and deep learningmodels for complex real-world problems
  • ProductionMLOps: Build, deploy,and maintain scalable ML pipelines, REST/gRPC APIs, and automated modelmonitoring tools using CI/CD best practices.
  • Architecture& Scalability: Optimize model latency, memory footprint, and throughput for high-concurrencyenvironments (quantization, caching, distributed inference).
  • Data Engineering Collaboration: Partner with data teams to design feature stores, optimize data pipelines, andensure high-quality training/testing datasets.
  • GenerativeAI Integration: Integrate and fine-tune large language models (LLMs), RAG architectures, ormultimodal models into our core application stack.
  • Mentorship& Strategy: Mentormid-level engineers, drive engineering standards, and help shape the long-termAI roadmap.
RequiredQualifications
  • Experience: 5+ years of professional experience insoftware engineering and production-level machine learning/AI.
  • CoreLanguages: Fluency inPython and strong expertise with modern ML frameworks (PyTorch, TensorFlow, orJAX).
  • SoftwareEngineering: Strongfundamentals in object-oriented/functional programming, system design, datastructures, and writing clean, testable code.
  • MLOps& Cloud: Demonstrated experience with cloud platforms (AWS/GCP/Azure), containerization(Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow, or MLflow).
  • Deployment: Track record of serving models at scaleusing frameworks like Triton, vLLM, FastAPI, or TorchServe.
  • Education: B.S. or M.S. in Computer Science, DataScience, Electrical Engineering, or a related quantitative field (or equivalentpractical experience).
Compensation
  • Compensationsalary: Industry standard
  • Opportunitiesfor professional development in a collaborative and innovative workenvironment.
  • Opportunitiesfor career growth and team leadership
Contact

OakBrook, IL 60523, USA

Email:career@hoploninfosec.com

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Apply