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Remote Full Stack Machine Learning Engineer Jobs in Louisiana

... full solution stack. Depending on your strengths, you will take the lead on one or more of the ... Machine Controllers) through Palantir Data Connection โ€ข Establish and enforce data quality ...

AI Solution Architect

Baton Rouge, LA ยท On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

AI Solution Architect

New Orleans, LA ยท On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

AI Solution Architect

Shreveport, LA ยท On-site +1

$62.50 - $82.25/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

AI Solution Architect

New Orleans, LA ยท On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

AI Solution Architect

Shreveport, LA ยท On-site +1

$62.50 - $82.25/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

AI Solution Architect

Baton Rouge, LA ยท On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Contribute to refining our internal engineering patterns as the stack evolves What you need to be ...

Senior Electrical Engineer

New Iberia, LA ยท On-site +1

$87K - $113K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... air machinery, power and control systems, HVAC, microgrid & storage and more * Safety-focused ...

Linear Algebra Tutor

Baton Rouge, LA ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

New Orleans, LA ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

From world-class events that last a few weeks to mining operations and remote communities who rely ... machinery and equipment design. Uses computer assisted engineering and design software and ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Louisiana? The most popular types of Full Stack Machine Learning Engineer jobs in Louisiana are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Louisiana? For Remote Full Stack Machine Learning Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Louisiana look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Louisiana with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Louisiana as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.
Senior Digital Advertising Specialist

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA โ€ข Remote

Full-time

Posted 7 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.