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Artificial Intelligence Machine Learning Engineer Jobs in La Crosse, WI

Machine Operator Join our team as a Machine Operator in a dynamic department where you will be ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... machine learning and artificial intelligence for enhanced product capabilities. This position will require someone that thrives in a team environment, analysis, design, and creates logic for customer ...

... machine learning and artificial intelligence for enhanced product capabilities. This position will require someone that thrives in a team environment, analysis, design, and creates logic for customer ...

Electrical Engineer We are seeking a dedicated Electrical Engineer to join our team. The ideal ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... artificial intelligence, turning raw production data into insights that protect our brand and make ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

... artificial intelligence, turning raw production data into insights that protect our brand and make ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess ...

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The position involves physical labor, machine operation, and general labor tasks both indoors and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

New

Apply endplates by hand or machine. * Operate banding equipment. * Assist in loading and unloading ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

New

Apply endplates by hand or machine. * Operate banding equipment. * Assist in loading and unloading ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Controls Algorithm Engineer

La Crosse, WI · On-site

$82K - $106K/yr

Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics. Object Oriented Analysis & Design. C++, C, Python programming. Annual Base Salary Range or Hourly Base ...

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Artificial Intelligence Machine Learning Engineer information

See La Crosse, WI salary details

$30.9K

$126.4K

$190K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for artificial intelligence machine learning engineer in La Crosse, WI is $126,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $152,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in La Crosse, WI? For Artificial Intelligence Machine Learning Engineer jobs in La Crosse, WI, the most frequently searched job titles are:
What cities near La Crosse, WI are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near La Crosse, WI with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in La Crosse, WI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $126,415 per year, or $60.8 per hour.

Director | Enterprise Analytics

Gundersen Health System

Onalaska, WI • On-site

Full-time

Re-posted 12 days ago


Gundersen Health System rating

6.7

Company rating: 6.7 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

531st of 887 rated healthcare providers


Job description

Love + medicine is who we are, it's what we do, it's why people want to work here. If you're looking for a job to love, apply today.
Scheduled Weekly Hours:
40
Director | Enterprise Analytics
  • Department: Enterprise Analytics and Data Science
  • Reports to: Vice President, Enterprise Analytics and Data Science
  • Location: Hybrid - Candidates must reside in WI, MI, MN, or IA to be considered.
  • Please note: Immigration sponsorship (e.g., H-1B) is not available for this position.

Position Summary:
Responsible for developing, implementing and maintaining the analytic domains within the organization. Supports efforts to deliver multifaceted analytics to the organization that will include self-service analytics, reporting and BI and other advanced analytic functions such as machine learning and Artificial Intelligence. The position works closely with key business stakeholders throughout the enterprise to ensure that appropriate technical and analytical solutions are provided and meet desired goals. Oversight and coordination include the design, development, maintenance and support of the data and analytics solutions created by these teams. Responsible for the daily management of data and analytics solutions development and adopts best practice standards that are in line with the global analytic and business strategies.
Major Responsibilities:
  • Lead the development and execution of data analytics strategies to generate actionable insights supporting business goals.
  • Establish and maintain a robust data governance framework ensuring data quality, security, and regulatory compliance.
  • Collaborate with IT, compliance, and business units to foster a data-driven culture and align governance practices.
  • Develop and deliver data literacy training programs to empower employees in effective data use.
  • Define, monitor, and report on KPIs to evaluate the success of data initiatives and governance efforts.
  • Communicate data insights and governance strategies clearly to stakeholders for informed decision-making.
  • Build and manage a skilled team of data analysts and governance experts, promoting innovation and collaboration.

Position Requirements:
Education: Bachelor's Degree in business, communications, advertising, marketing, statistics, engineering, technology, or health care. Master's Degree in business, communications, advertising, marketing, statistics, engineering, technology, or health care desired.
Required Experience:
  • 5 years of direct leadership experience in applications management, development, or systems management with evidence of increasing responsibility.
  • Extensive experience with a variety of analytical toolsets, database platforms, relational database structures, data governance and ETL processes.
  • Direct implementation and maintenance of data architecture and scalable self-service data and reporting functions
  • Proven experience in overseeing the direction, development and implementation of data governance, validation, and visualization.
  • Progressively responsible experience which includes leadership/supervision and in-depth experience with data management, report development and data analysis. Incorporates visualizations, statistical analysis, and data science techniques into dashboards, advanced analytics, and complex delivery models.
  • Experience with business intelligence tools such as Tableau, PowerBI, Qlik, or other enterprise analytics platforms
  • Experience with Healthcare Analytics, Machine Learning, predictive modeling, and Artificial/Augmented Intelligence
  • Cogito Suite, Caboodle, Clarity
  • Hybrid deployments (on premises, Cloud)
  • Data Lake Platforms such as snowflake, Denodo, or Dremio

Why Join Us?
  • Opportunity to shape data strategy in a growing organization.
  • Collaborative and innovative work environment.
  • Competitive salary and benefits package.
  • Commitment to professional development and continuous learning.

If you need assistance with any portion of the application or have questions about the position, please contact HR-Recruitment@gundersenhealth.org or call 608-775-0267.
We inspire your best life by relentlessly caring, learning and innovating. This is our purpose. Together with our values - belonging, respect, excellence, accountability, teamwork and humility - our pillars set our foundation and our future.
Equal Opportunity Employer

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About Gundersen Health System

Sourced by ZipRecruiter

Gundersen Health System is an award winning, physician-led, integrated healthcare system employing nearly 900+ clinicians. Our mission is to distinguish ourselves through excellence in patient care, education, research and improved health in the communities we serve. A rewarding practice and an excellent quality of life awaits.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

La Crosse, WI, US

Year founded

1891