ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in La Crosse, WI

Aerotek

Machine Operator - Level 2

La Crosse, WI

$41K - $66K/yr

Machine Operator The Bulk Machine Operator is responsible for overseeing the production line ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

New

Worky

Associate Engineer

La Crosse, WI · On-site

$73 - $102/hr

... 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 ...

U.S. Navy

Linguist

Viroqua, WI

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Bangor, WI

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

La Crescent, MN

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in La Crosse, WI

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 Sep 7, 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 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 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 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:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in La Crosse, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $126,415 per year, or $60.8 per hour.

Intern, Energy Data Science

Dairyland Power Cooperative

La Crosse, WI • On-site

$30/hr

Part-time

Posted 6 days ago

Job description

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility, performing statistical analysis, building predictive models, and providing actionable insights. This position advances all DPC's strategic priorities, but most notably our commitment to financial strength, growth & innovation, and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build, test and document data pipelines that ingest, transform and deliver data for analysis and reporting. Assist with integrating APIs, databases, enterprise applications and external data sources into Dairyland Power Cooperative's cloud-based Lakehouse environment. Clean, validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends, quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment, validation, performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings, assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources, pipelines, models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science, statistics, mathematics, artificial intelligence, computer science, or another related field.

Skills:

  • Experience using at least one scientific computing language, preferably Python

  • Foundational knowledge of data structures, statistical analysis and relational databases

  • Strong analytical, problem-solving and organizational skills

  • Strong verbal, written and interpersonal communication skills

  • Ability to work independently.

PREFERRED QUALIFICATIONS:

  • Experience with SQL and data modeling

  • Experience building data pipelines or integrating APIs

  • Familiarity with Microsoft Fabric, AWS or another cloud data platform

  • Familiarity with machine learning model development, validation, and deployment

  • Experience with Power BI or another data visualization tool

  • Experience using Git or another version control system

Licenses and Certifications:Valid Driver's License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required, occasionally overnight. Works with limited supervision in a variably paced, variable pressure setting. Handles multiple priorities.

Apply