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Artificial Intelligence Machine Learning Engineer Jobs in Baton Rouge, LA

CF Industries

DCS Coordinator

Donaldsonville, LA

... artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including ...

CF Industries

Millwright - Blue Point

Modeste, LA

$27 - $35.25/hr

... artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including ...

New

CF Industries

Millwright - Blue Point

Modeste, LA · On-site

$27 - $35.25/hr

... artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including ...

New

CF Industries

DCS Coordinator

Donaldsonville, LA · On-site

... artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including ...

IBM

Associate Application Developer AWS - 2027

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Interest in cloud engineering, Artificial Intelligence, and continuous learning. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading ...

IBM

Associate Application Developer AWS - 2027

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Interest in cloud engineering, Artificial Intelligence, and continuous learning. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading ...

IBM

Intern Supply Chain Specialist - 2027

Baton Rouge, LA · On-site

$17.25 - $23.25/hr

... learning in a collaborative, team-based environment. This internship is designed to provide ... Gain exposure to how organizations use Artificial Intelligence, automation, analytics, cloud ...

New

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Baton Rouge, LA

Artificial Intelligence Machine Learning Engineer information

See Baton Rouge, LA salary details

$24.7K

$101K

$151.8K

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

As of Aug 19, 2026, the average yearly pay for artificial intelligence machine learning engineer in Baton Rouge, LA is $101,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $121,600.00 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 Baton Rouge, LA?

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

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Baton Rouge, LA 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 Baton Rouge, LA 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 $101,025 per year, or $48.6 per hour.

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA • On-site

Full-time

Re-posted 2 days ago

Job description

SASSO is seeking a Senior Digital Advertising Specialist to lead and scale high-performance digital advertising programs across a diverse portfolio of clients and industries. This role focuses primarily on Google Ads lead generation, with ownership spanning campaign strategy, execution, optimization, measurement, and conversion improvement.
The ideal candidate is a hands-on digital advertising operator who understands how paid media, analytics, landing page performance, and conversion rate optimization work together to drive qualified leads and measurable business outcomes.
Beyond campaign management, this role will help advance SASSO's AI-enabled media capabilities, leveraging modern advertising platforms, automation tools, and machine-learning insights to improve campaign efficiency, accelerate testing, and uncover deeper performance insights for clients.
Success in this role requires someone who is both analytically rigorous and execution-focused, capable of translating performance data into actionable improvements while continuously exploring new ways to leverage automation, artificial intelligence, and advanced analytics to improve campaign outcomes.
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • Own and manage lead generation-focused Google Ads campaigns, including Search, Display, YouTube, and Performance Max, from initial structure through ongoing optimization.
  • Build campaigns from the ground up including keyword research, account structure, bidding strategies, ad copy, extensions, and landing page alignment.
  • Optimize campaigns against core performance marketing metrics including Customer Acquisition Cost (CAC), Cost per Lead (CPL), Return on Ad Spend (ROAS), Marketing Efficiency Ratio (MER), and conversion rate.
  • Monitor performance trends and apply data-driven optimizations across keywords, audiences, bidding strategies, and creative performance.
  • Use GA4 and advertising platform data to analyze user behavior, conversion paths, and campaign performance.
  • Ensure accurate conversion tracking and attribution, working with internal teams to maintain reliable measurement.
  • Leverage AI-driven capabilities within advertising platforms including smart bidding, predictive audience signals, and automated optimization tools to improve campaign efficiency and insights.
  • Design and execute structured testing frameworks, including A/B and multivariate tests across ads, audiences, bidding strategies, and landing pages.
  • Identify opportunities to improve conversion performance, partnering with design, development, and content teams on landing page improvements, messaging alignment, and testing initiatives.
  • Develop and execute structured testing programs across ads, audiences, and landing pages to continuously improve performance.
  • Manage campaign budgets, pacing, and performance forecasts across multiple accounts.
  • Translate performance data into clear insights and actionable recommendations for internal teams and clients.

REQUIREMENTS:
Education and Experience:
  • Bachelor's degree in Marketing, Communications, Business, Analytics, or a related field (or equivalent professional experience).
  • 5-8 years of hands-on experience managing performance-driven, lead-generation digital campaigns
  • Demonstrated success building, optimizing, and scaling performance marketing campaigns that drive qualified leads or revenue outcomes.
  • Strong working knowledge of GA4, campaign attribution, and digital performance analytics.
  • Experience managing campaigns across multiple Google Ads formats including Search, Display, YouTube, and Performance Max.
  • Practical experience applying conversion rate optimization (CRO) principles to paid traffic and landing pages.

Behavioral Competencies:
  • Performance Mindset: Focused on measurable outcomes such as CAC, ROAS, conversion rates, and lead quality.
  • Analytical & Data Driven: Comfortable analyzing complex datasets and translating insights into strategic improvements.
  • Ownership & Accountability: Takes responsibility for campaign performance and continuously seeks optimization opportunities.
  • AI & Technology Fluency: Demonstrates curiosity and comfort leveraging automation, machine learning tools, and AI-assisted platforms to improve marketing performance.
  • Collaborative Communication: Works effectively across strategy, creative, analytics, and account teams.
  • Adaptability: Thrives in a fast-moving environment where testing, iteration, and continuous learning are expected.

WORK ENVIRONMENT & PHYSICAL DEMANDS
  • This position is headquartered in Baton Rouge, Louisiana, but remote candidates currently based and authorized to work in the United States are encouraged to apply. Candidates should be willing and able to travel to the Baton Rouge office on an occasional basis.
  • We are not able to sponsor visas or consider international candidates as this time.
  • Occasional travel may be required for client meetings, events, or project-related needs.
  • Requires extended periods of computer work and virtual meeting participation.

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