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Ai Ml Project Manager Jobs in Appleton, WI (NOW HIRING)

Proctor & Gamble

Engineering Manager

Green Bay, WI

... AI/ML solutions. Build digital landscapes for production equipment and lead data analytics for ... Lead impactful projects with full responsibility from Day 1. * Continuous Mentorship & Training:

The Boldt Company

Project Engineer

Appleton, WI

$66K - $84K/yr

As a Project Engineer, you will provide on-site support to the Project Manager and Superintendent ... By people, strengthened through AI and technology that enhance collaboration, transparency, and ...

The Boldt Company

Project Engineer

Appleton, WI · On-site

$66K - $84K/yr

As a Project Engineer, you will provide on-site support to the Project Manager and Superintendent ... By people, strengthened through AI and technology that enhance collaboration, transparency, and ...

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI

$35 - $50/hr

... warehousing projects, analytics and automation and providing the infrastructure that is needed ... The role will involve building templated AI foundry services, containers, managed services, and ...

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Ai Ml Project Manager information

See Appleton, WI salary details

$37.6K

$100.2K

$158.1K

How much do ai ml project manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai ml project manager in Appleton, WI is $100,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $120,000.00 per year, depending on experience, location, and employer.

What is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

What is the difference between Ai Ml Project Manager vs Data Scientist?

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

How much do AI ML project managers make?

AI ML project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data science, cloud platforms, or certifications can command higher salaries. Compensation often includes bonuses and benefits aligned with project scope and organizational size.

What is the salary of AI ML project manager?

The salary of an AI ML Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science may earn higher compensation, often including bonuses and benefits.

What are popular job titles related to Ai Ml Project Manager jobs in Appleton, WI?

For Ai Ml Project Manager jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Ai Ml Project Manager jobs in Appleton, WI look for?

The top searched job categories for Ai Ml Project Manager jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for Ai Ml Project Manager jobs?

Cities near Appleton, WI with the most Ai Ml Project Manager job openings:

Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Appleton, WI as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $100,189 per year, or $48.2 per hour.

Senior AI Engineer (Breakthrough)

US Venture, Inc.

Green Bay, WI • On-site

$101K - $139K/yr

Full-time

Re-posted 26 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

92nd of 427 rated retail wholesalers

Job description

POSITION SUMMARY
Join our Breakthrough Engineering team with our newly added Senior AI Engineer role! We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full-stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.
Over $20 trillion of freight moves through the U.S. economy every year, and most of it is still managed through fragmented data, manual processes, and knowledge that lives in people's heads. We're changing that. Breakthrough is building agentic AI that can reason through complex, customer-specific freight scenarios and operate reliably in workflows where the stakes are measured in real dollars.
Agentic capability is becoming the foundation of how every product in our portfolio works. This is not a side project. You'll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.
Freight is a deceptively complex domain: fragmented data sources, constantly shifting constraints, and an ecosystem of carriers, shippers, and intermediaries that doesn't sit still.
The problems you'll work on include:
• Designing agent reasoning that navigates complex, customer-specific freight scenarios
• Solving entity resolution and data integration across diverse data sources
• Building evaluation and reliability frameworks that prove agent decisions are sound before they touch customer workflows
• Defining orchestration patterns that scale from a single product to platform-wide agentic capability
You'll work with years of real, proprietary freight data. You'll influence how these agents interact with users, working alongside product, design, and domain experts. This is not a research role. We ship. But the people who thrive here think deeply about how agents should work, not just how to make them work right now. If you've been building agentic systems and want to see what happens when they meet a hard, real-world domain with real data and real consequences, this is where that work happens.
This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience. Note that final candidates will be required to interview on-site for this position.
JOB RESPONSIBILITIES
Generative AI and Machine Learning Development:
  • Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions.
  • Fine-tune and optimize pre-trained AI/ML models for specific use cases.
  • Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Full Stack Development:
  • Write clean, efficient, and maintainable code for AI-powered software applications.
  • Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components.

Architectural Design:
  • Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success.
  • Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems.

Technical Excellence:
  • Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms.
  • Optimize and refactor code to address performance bottlenecks in AI/ML pipelines.
  • Write and execute robust unit and integration tests for AI/ML models and other software components.
  • Troubleshoot and resolve issues related to AI/ML model performance and system integration.

Innovation:
  • Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models.
  • Propose and implement creative solutions using AI to solve business problems and enhance user experiences.

Collaboration:
  • Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration.
  • Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field.

QUALIFICATIONS
  • Bachelor's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 7+ years as a software or data engineer
  • 2+ years experience in AI/ML engineering
  • Experience using AI/ML libraries and frameworks (e.g., Google ADK, LangChain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, TensorFlow, Scikit-learn ) training and fine-tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
  • Understanding of database concepts, data modeling, and data warehousing principles.
  • Understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Knowledge of software development methodologies including Agile, Kanban, and Scrum.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Preferred:
  • Prior experience in a product focused technology team desired.
  • Prior experience with technical problem-solving and the ability to navigate complex technical challenges.

DIVISION:
Breakthrough
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
50-57-504-0000

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