2

Hourly Remote Machine Learning Engineer Jobs in Louisiana

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Proven experience as a Software Engineer or similar role. * Strong proficiency in MSSQL and ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Proven experience as a Software Engineer or similar role. * Strong proficiency in MSSQL and ...

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

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

  • Medical

  • Dental

  • Vision

  • Retirement

Remote Summary of Position: The Technical Account Manager (TAM) is responsible for delivering ... disciplines, aka AI/Machine Learning, Network/OS administration, programming, Database ...

Electrical Designer - (Hybrid/Remote)

New Orleans, LA · On-site +1

$28.50 - $33.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Designer works with Engineers and Project Managers to prepare complete construction documents ... Starting Hourly Range: $28.50 - $33.50. A variety of factors are considered when determining an ...

Electrical Designer - (Hybrid/Remote)

Saint Rose, LA · On-site +1

$28.50 - $33.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Designer works with Engineers and Project Managers to prepare complete construction documents ... Starting Hourly Range: $28.50 - $33.50. A variety of factors are considered when determining an ...

Cyber Warfare Engineer

Schriever, LA · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0234870 Location: Schriever AFB,CO,US Share job via: Share Cyber ... machines such as VirtualBox, VMWare, or Parallels * Experience with automation tools such as ...

Showing results 21-40

Hourly Remote Machine Learning Engineer information

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

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

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Louisiana?

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

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Louisiana look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities in Louisiana with the most Hourly Remote Machine Learning Engineer job openings:

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA • Remote

Full-time

Re-posted 28 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.