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Learning Ai Jobs in Illinois (NOW HIRING)

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Senior AI & ML Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) solutions for financial services and insurance.

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

Artificial Intelligence And Machine Learning Solutions Developer You have a clear vision of where ... Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) solutions for financial services and insurance.

Design and guide the implementation of scalable AI and machine learning architectures using hyperscaler platforms. * Experience Building Agentic Workflows: Experience driving adoption of Amazon ...

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and ...

About the job Applied AI / ML Engineer About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats ...

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Showing results 1-20

Learning Ai information

What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do Learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is a Learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

What cities in Illinois are hiring for Learning Ai jobs? Cities in Illinois with the most Learning Ai job openings:

AI & Machine Learning Engineer

Synergistic it

Chicago, IL

$118K - $141.80K/yr

Other

Posted 22 days ago


Job description

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere?

Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective.

That means only the most prepared, polished, and employer‑ready candidates get through.If you’ve sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn’t mean you’re not capable. It usually means your profile isn’t lining up with how companies filter, shortlist, and interview candidates right now. In today’s market, employers expect more than a degree or a few tutorial projects.

They want candidates who look job-ready on paper , sound confident in interviews , and demonstrate hands-on ability in the tools teams actually use. That’s exactly what SynergisticIT solves—because the real challenge isn’t learning in isolation. The real challenge is translating learning into interviews and offers .

Since 2010 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair , and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove . Here’s the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.

That’s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become “AI experts” overnight.

Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer .

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.

SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ You don’t need more random applications. You need a job-ready plan.

Start smarter—start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume. A lot of jobseekers assume they must become “AI experts” overnight.

Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer .

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.

SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/