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Artificial Intelligence Machine Learning Engineer Jobs in Louisiana

Support Engineer

Baton Rouge, LA ยท On-site

$30 - $35/hr

Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then need to relocate to Baton Rouge, LA Pay Range - $30-$35/hr. Summary * This profile outlines the desired ...

Senior Machine Learning Engineer

Raceland, LA ยท On-site

$99K - $136K/yr

Job Title: โ€ฏSenior Machine Learning Engineer Location: โ€ฏMulitple Locations Position Overview: The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into ...

$184K - $262K/yr

Working at the intersection of machine learning, platform engineering, and regulatory compliance ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Artificial Intelligence Machine Learning Engineer information

See Louisiana salary details

$26.9K

$110.1K

$165.5K

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

As of Aug 26, 2026, the average yearly pay for artificial intelligence machine learning engineer in Louisiana is $110,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $132,500.00 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 are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Louisiana?

For Artificial Intelligence Machine Learning Engineer jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Louisiana look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Louisiana with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Louisiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $110,114 per year, or $52.9 per hour.

Support Engineer

Baton Rouge, LA โ€ข On-site

Collabera LLC
IT Servicesย โ€ขย 5 - 10K employees

$30 - $35/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Job Title - Artificial Intelligence / Machine Learning Support Engineer


Remote - 06 weeks, then need to relocate to Baton Rouge, LA


Pay Range - $30-$35/hr.


Summary



  • This profile outlines the desired skills and experience for an Artificial Intelligence/ Machine Learning Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in Artificial Intelligence/ Machine Learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various Artificial Intelligence/ Machine Learning platforms.


Technical Skills:



  • Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.

  • Cloud Technologies: Experience with cloud platforms like AWS, and Azure, including their Artificial Intelligence/ Machine Learning services.

  • Generative AI: Experience with LLMs and Generative AI, and Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)

  • Machine Learning Development: Experience with Machine Learning model development and deployment.

  • Artificial Intelligence/ Machine Learning Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.



Experience:



  • Troubleshooting Code Experience: Experience reading code in a general-purpose coding language (e.g., Java, C, C++, Python, Shell, Go, or JavaScript, etc.) or in system design.

  • Artificial Intelligence/ Machine Learning Experience: Experience with Machine Learning model development and deployment.

  • Troubleshooting Experience: Experience in troubleshooting, diagnosing, and resolving complex issues.

  • Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.


Collabera logo

About Collabera

Sourced by ZipRecruiter

Collabera is a Global Digital Solutions Company providing Software Engineering Solutions for the world's most tech-forward organizations in the areas of Engineering, Cloud and Data/AI. With its roots serving the engineering needs of the world's most recognized businesses in Technology, Financial Services, Telecom and Healthcare, Collabera today operates across 60 locations in 11 countries, serves 30% of the Fortune 500, and has exceeded the industry growth rate by 3-4x for several years.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Morristown, NJ, US

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