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Artificial Intelligence Machine Learning Engineer Jobs in La Crosse, WI

General Counsel

Winona, MN · On-site

$160K - $190K/yr

... to learning from one another through authentic conversations in search of the truth. We are ... The successful candidate will possess the ability to effectively utilize artificial intelligence ...

General Counsel

Winona, MN · On-site

$160 - $190/hr

... to learning from one another through authentic conversations in search of the truth. We are ... The successful candidate will possess the ability to effectively utilize artificial intelligence ...

General Counsel

Winona, MN · On-site

$160K - $190K/yr

... to learning from one another through authentic conversations in search of the truth. We are ... The successful candidate will possess the ability to effectively utilize artificial intelligence ...

General Counsel

Winona, MN · On-site

$160K - $190K/yr

... to learning from one another through authentic conversations in search of the truth. We are ... The successful candidate will possess the ability to effectively utilize artificial intelligence ...

Rotating Equipment Engineer

Houston, MN · On-site

$112K - $134K/yr

Lifelong learning and career growth: Access to professional development, internal technical ... An opportunity to work hands-on with complex rotating machinery that powers critical industries ...

Showing results 21-40

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 11, 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.

Information Technology Specialist (Applications Software)

US Department of the Treasury

La Crosse, WI • On-site, Remote

$106K/yr

Other

Posted 24 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

310th of 844 rated public administrative organizations


Job description

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Taxpayer Services and Online Accounts
  • Consider each location carefully when applying. You will be limited to 3 location choices. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
Minimum requirements for Grade 12 and Up (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Team Work and 9) Technical Competence.
Specialized Experience GS-13 Level: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service, specialized experience includes:

  • Independently applying IT principles, concepts, methods, and practices to plan, analyze, implement, maintain, troubleshoot, or enhance IT systems, services, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Performing computer projects, operational, or application-related assignments involving IT requirements and techniques, including resolving technical issues; validating system, application, or code testing and configuration; preparing technical documentation; and applying federal cybersecurity, privacy, or regulatory requirements.
  • Working directly with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Assessing system, service, or application performance, availability, reliability, usability, and operational effectiveness; identifying risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the selection, configuration, implementation, or improvement of IT solutions, including application components where applicable, to support mission and operational requirements.
  • Applying software engineering principles, methods and practices to design, develop, modernize, integrate, test or maintain software applications and systems to analyze and resolve technical issues and improve IT systems and processes.
  • Developing, integrating or supporting front-end, back-end, API, cloud-based, or enterprise application solutions using programming languages, frameworks and development tools.
  • Applying software engineering, system development life cycles (SDLC), Agile, DevOps or CI/CD methodologies along with AI-powered tools, to improve development velocity, automate documentation, and increase overall engineering productivity.
  • Evaluating and implementing emerging technologies, including cloud-based architecture, containerization, infrastructure-as-code, and Artificial Intelligence (AI) assisted development.
  • Applying secure coding principles, cybersecurity requirements, technical standards or compliance requirements during software development, implementation or maintenance activities.
  • Developing or implementing technical guidance, procedures or solutions related to software engineering, application modernization, systems integration or IT service delivery.
  • Supporting IT software development projects by assisting with planning activities, defining milestones and deliverables, monitoring progress and communicating information or recommendations to customers, stakeholders and team members.
  • Applying project management principles, methods, and practices including developing plans and schedules, identifying resource requirements, reporting project status and providing training to support IT projects or initiatives.
  • Communicating technical information both orally and in writing to technical and non-technical audiences.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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