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Machine Learning Engineer Jobs in Lafayette, LA (NOW HIRING)

Software Development/ Engineering Main location: United States, Louisiana, Lafayette Position ID ... machine learning solutions that guide prediction and forecasting. . Address the challenges of ...

Machinist (Manual)

Opelousas, LA

$17 - $23/hr

Tuition reimbursement and continuous learning opportunities to support your professional growth ... Confers with engineers, production personnel, programmers, or others to resolve machining or ...

Lead Electrical Engineer

Lafayette, LA · On-site

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

Lead Electrical Engineer

Lafayette, LA · On-site

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

Lead Electrical Engineer

Lafayette, LA · On-site

$152K - $159K/yr

Leading systems and electrical engineering staff with regard to career growth, continuous learning ... Strong understanding of electrical three-phase machine theory and applications. * Familiarity with ...

As an Engineer Maintenance-2, you will work alongside our maintenance team to implement preventive ... Perform preventive and corrective maintenance on industrial equipment, machinery, and systems to ...

As an Engineer Maintenance-2, you will work alongside our maintenance team to implement preventive ... Perform preventive and corrective maintenance on industrial equipment, machinery, and systems to ...

Familiarity with fabrication or machine shop processes. * Comfortable with learning and using programming languages. * Detail-oriented with experience handling small and fragile components.

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Machine Learning Engineer information

See Lafayette, LA salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine learning engineer in Lafayette, LA is $122,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Lafayette, LA?

The most popular types of Machine Learning Engineer jobs in Lafayette, LA are:

What are popular job titles related to Machine Learning Engineer jobs in Lafayette, LA?

For Machine Learning Engineer jobs in Lafayette, LA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Lafayette, LA look for?

The top searched job categories for Machine Learning Engineer jobs in Lafayette, LA are:

What cities near Lafayette, LA are hiring for Machine Learning Engineer jobs?

Cities near Lafayette, LA with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Lafayette, LA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,973 per year, or $59.1 per hour.

Full-time

Re-posted 14 days ago


University Of Louisiana At Lafayette rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

169th of 627 rated colleges and universities


Job description

Research Associate IV / V

Job Summary:
TheDepartment of Civil and Environmental Engineering of the University ofLouisiana at Lafayette seeks a Research Associate IV/V to be positioned at theLouisiana Transportation Research Center (LTRC) at Baton Rouge, LA. Thesuccessful candidate will work at LTRC's Intelligent Transportation Systems(ITS) Lab, a state-of-the-art facility where traffic data is collected,analyzed, and reported. The research associate will provide technical expertisein all aspects of the data collection, analysis, and reporting stages of aresearch project.  Research projectsrange from traffic simulation studies to experimental studies that implementnovel traffic solutions. This position is expected towork on analyzing transportationengineering data including but not limited to probe data, crash data, trafficflow data, census data etc. and developing meaningful inferences, whilesupporting solution development through traffic modeling, statisticalmodeling and machine learning approaches as well as the development and managementof relational databases.
Job Responsibilities:
Thecandidate will contribute to the conceptualization of research and proposaldevelopment with principal investigators.  With assistance, the successful applicant will develop the day-to-dayoperations of research projects including: literature reviews, research design,research execution, data analysis, report writing, presentations, andpublications.  Duties andresponsibilities include:
-Develop and maintain databases using direct access and application data import and retrieval processes.
-Perform research and analyze traffic data to address ITS, traffic safety, and planning issues. The candidate will serve as the primary resource on data analytics.
-Produce meaningful visualizations from data analytics for inclusion in research reports.
-Provide technical expertise in the application of machine learning algorithms in traffic modeling and simulation work that incorporates emerging concepts including connected and/or automated vehicles.
-Interpret and derive meaningful insights from statistical and machine learning analyses related to traffic safety, planning, and ITS.
-Contribute to the conceptualization and creation of research statements, proposals, and reports.


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