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

Marmon

Blaster

Ville Platte, LA · On-site

$13 - $17.25/hr

General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. Assembles minor ... Union Tank Car Company's regulatory, engineering, and commercialexpertisemake UTLX the preferred ...

EDG Inc

Sr. Facilities Engineer

Lafayette, LA · On-site

$99K - $137K/yr

Facilities Engineering Employment Type: Regular FT Part-Time Available: No Eligible for US Work ... production machinery with extreme noise levels; • Must be able to wear safety equipment as ...

Marmon Holdings, Inc.

Blaster

Ville Platte, LA · On-site

$13 - $17.25/hr

General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. Assembles minor ... Union Tank Car Company's regulatory, engineering, and commercial expertise make UTLX the preferred ...

CGI Inc.

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location ... • Learning opportunities and tuition assistance • Wellness and well-being programs #LI-KB5 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lafayette, LA

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 Jun 16, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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.

More about Machine Learning Engineer jobs
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 cities near Lafayette, LA are hiring for Machine Learning Engineer jobs? Cities near Lafayette, LA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lafayette, LA as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,973 per year, or $59.1 per hour.

Adjunct Faculty: Manufacturing Technology Instructor

Louisiana Community and Technical College System

Lafayette, LA • On-site

Part-time

Posted 4 days ago

Job description

Adjunct Faculty: Manufacturing Technology Instructor
Job no: 493176
Work type: Faculty - Part Time
Location: Lafayette, LA, New Iberia, LA
Categories: Workforce Development & Education
College: SLCC
Department: Workforce & Economic Development
Sub department: Corporate College
Type of Appointment: Unclassified - Adjunct
Salary: Commensurate with Experience
Duties and Responsibilities:
South Louisiana Community College's manufacturing program offers students advanced training and credential opportunities as well as transferable college credits. Our equipment, labs and classroom facilities allow faculty to teach students using the latest technology in the field. Our program is growing which means there is a need for an experienced professional who can share their knowledge and enthusiasm with our students as an adjunct Manufacturing Technology instructor.
As an adjunct Manufacturing Technology instructor, the successful candidate will teach courses in Precision Machining, focusing heavily on hand tools and manual machining. Teaching in both the classroom and laboratory settings, the successful candidate will use a combination of hands-on demonstrations along with classroom/online lectures to teach students machine tool theory and safety as well as a variety of technical assignments and laboratory instruction that will prepare the students to enter today's manufacturing workforce.
This candidate will be experienced and be comfortable teaching theory and methods in conventional (manual) machine tool operation, blueprint reading/engineering drawings, precision (and non-precision) measuring tools, conventional hand tools and layout. The adjunct faculty member will demonstrate procedures and prepare students for possible NIMS and other industry-related certifications.
The instructor will need to use a Learning Management System (LMS) for documentation, tracking, reporting, and delivery of educational/training courses. Experience working with adult learners is a plus.
The faculty member will maintain the highest possible standards of classroom and laboratory instruction; apply innovative teaching and learning methods and keep abreast of new information and developments in manufacturing. The adjunct instructor is expected to conduct assigned classes/labs, develop lessons and applicable assignments to meet learning objectives of class, provide a syllabus for each class, and use learning assessments to improve student learning.
Required Education:
• High School Diploma
• Relevant Certifications (HAAS, technical training certification, etc.)
Required Experience:
• Minimum of 5 years of machining experience
• Proficient in manual machining and relevant equipment - lathes, grinders, mills, etc.
• Proficient in tooling used within the machining industry
• Basic knowledge of CNC machines and operation
• Perform other duties as needed
Required Licenses or Certifications: An active, unencumbered driver's license.
Preferred Education: Associate Degree
Preferred Experience:
• CNC coding experience
• Proficient in Mastercam or GibbsCAM
Passing pre-employment criminal background screen is required as a condition of employment.
Advertised: 04 Apr 2022 Central Daylight Time
Applications close:
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