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Machine Learning Jobs in Gonzales, LA (NOW HIRING)

Machinist II

Port Allen, LA

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

Machinist II

Port Allen, LA · On-site

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

Machinist II

Port Allen, LA · On-site

$21 - $28.50/hr

Machine flanges to ASME 16.50 specifications * Perform precision work on all turning and milling ... Introductory learning to operate portable machining equipment Positional Requirements ...

Python Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Analyze macro and micro data (structured/less structured) to answer business questions via strategic analysis, machine learning/NLP models.* Coordinate with various internal and external business ...

Showing results 21-40

Machine Learning information

See Gonzales, LA salary details

$22K

$36.7K

$75.8K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning in Gonzales, LA is $36,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,000.00 and $39,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Gonzales, LA? The most popular types of Machine Learning jobs in Gonzales, LA are:
What cities near Gonzales, LA are hiring for Machine Learning jobs? Cities near Gonzales, LA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Gonzales, LA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $36,682 per year, or $17.6 per hour.

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA • Remote

Full-time

Re-posted 22 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.