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Gen Ai Developer Jobs in Milwaukee, WI (NOW HIRING)

Senior Staff Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Applies AI & Technology - Identifies opportunities to boost efficiency and add value using AI and ... gen dev tools. * Act as a technical mentor, shaping the growth of senior and staff engineers ...

S. degree in computer science, engineering with a strong statistical and programming background ... Experience in explainable AI. * Experience in SQL data query, data cleaning * Experience in SAP ...

Gen Ai Developer information

See Milwaukee, WI salary details

$18

$44

$99

How much do gen ai developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for gen ai developer in Milwaukee, WI is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $53.99 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What are popular job titles related to Gen Ai Developer jobs in Milwaukee, WI?

For Gen Ai Developer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Gen Ai Developer jobs in Milwaukee, WI look for?

The top searched job categories for Gen Ai Developer jobs in Milwaukee, WI are:

Infographic showing various Gen Ai Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 46% Full Time, and 54% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,809 per year, or $44.6 per hour.

Manager, Advanced Analytics and Research (Remote)

Menomonee Falls, WI • On-site


KOHLS
Retail • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 1,472 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Recommended by students

Paid breaks

Recommended by parents


Other

Posted 27 days ago


Job description

About the Role

In this role, you will create best-in-class data science tools to power the next generation of data science applications at Kohl's, and explore how Machine Learning (ML) and AI can be applied to new use cases that aren’t well-suited for traditional CRM channel A/B testing.

What You’ll Do

  • Use AI/ML to explore new opportunities at Kohl’s, including causal models for promo-calendar decisions, gen-AI copilots for insight discovery and explainer models that break down year-over-year performance drivers like pricing, promotions and media

  • Guide store performance driving tactics leveraging store performance explainer models (including labor optimization)

  • Oversee the activation of tests, ensuring essential model runs, segmentation and timelines are provided to key stakeholders

  • Ensure relevant analytics assets and tests are documented and insights are captured

  • Manage and influence direct reports, systems and projects to achieve unit goals per Kohl’s policies and practices

  • Provide leadership by exhibiting influence and expertise and driving results

  • Create and promote an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance and maintaining open communications

  • Develop staff through coaching, providing performance feedback, providing effective performance assessments and establishing performance and development plans

  • Influence, collaborate and partner with teams and leaders across the organization

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s Degree in quantitative areas such as Applied Mathematics, Data Science or a related field

  • 5+ years of relevant analytics experience

  • Experience coding in general-purpose languages (Python, R, SAS)

  • Experience with developing and scaling predictive models and optimization algorithms for marketing use cases 

Preferred

  • MBA and/or Master's or PhD in hard sciences, computer science, engineering or other applicable field



What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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