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Remote Deep Learning Jobs in Louisiana (NOW HIRING)

Altera

Deep understanding of recruiting workflows, learning administration, reporting, and business ... Arizona, United States (Remote), Austin, Texas, United States (Remote), Georgia, United States ...

Cloudera

$150K - $185K/yr

Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.) * Integration Products ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

EnthuZiastic

Growth Hacker - Remote

Kenner, LA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

New Orleans, LA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Shreveport, LA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Baton Rouge, LA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Lake Charles, LA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Harris

This role requires deep healthcare technology experience, strong operational and analytical ... Create a culture of accountability, ownership, continuous learning, and customer advocacy. * Lead ...

Harris

This role requires deep healthcare technology experience, strong operational and analytical ... Create a culture of accountability, ownership, continuous learning, and customer advocacy. * Lead ...

Sbdinc

Deep understanding of the construction ecosystem, including end-user dynamics and decision-making ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

LCMC Health

Lead Inpatient DRG Coder - Remote

New Orleans, LA · On-site +1

$20.75 - $25.25/hr

Experience in assisting and identifying learning needs as well as providing training to coding ... While our NOLA roots run deep, our branches are the vessels that carry our mission of bringing the ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Louisiana

Remote Deep Learning information

See Louisiana salary details

$16.7K

$101.9K

$166.5K

How much do remote deep learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote deep learning in Louisiana is $101,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,678.00 and $131,856.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

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

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in Louisiana? The most popular types of Deep Learning jobs in Louisiana are:
What are popular job titles related to Remote Deep Learning jobs in Louisiana? For Remote Deep Learning jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in Louisiana look for? The top searched job categories for Remote Deep Learning jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Deep Learning jobs? Cities in Louisiana with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Louisiana as of June 2026, with employment types broken down into 2% As Needed, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $101,904 per year, or $49 per hour.

Workday Contractor - Recruiting / Learning Modules

Altera

Remote

Full-time

Posted 17 days ago

Job description

Job Details:Job Description:

Altera is looking for a high-impact Workday Recruiting & Learning Consultant to help transform how we attract, hire, develop, and grow talent globally. This is an exciting opportunity to partner directly with Talent Acquisition, HR, Learning & Development, and HRIS leadership to drive meaningful improvements in recruiter productivity, hiring manager experience, employee development, automation, analytics, and workforce operations.

If you enjoy solving complex problems, challenging the status quo, and building scalable talent solutions, we'd love to talk with you.

What You'll Do

  • Assess and optimize Workday Recruiting and Learning processes and workflows.

  • Increase recruiter and HR team efficiency by reducing manual, administrative work.

  • Streamline requisition approvals, candidate movement, recruiting operations, and learning administration processes.

  • Improve interview scheduling, onboarding, learning assignment, and overall employee experience.

  • Build impactful dashboards and reporting around key metrics such as time-to-fill, recruiter capacity, offer acceptance rates, learning completion rates, compliance training, and employee development participation.

  • Identify automation and AI opportunities to improve recruiting, onboarding, and learning outcomes.

  • Partner with TA, Learning & Development, HRIS, HR Operations, and business leaders to implement best practices.

  • Optimize learning catalogs, enrollment workflows, certifications, curriculum management, and learner experiences.

  • Enhance the integration between Recruiting, Onboarding, Learning, and broader Talent Management processes.

  • Develop a roadmap for long-term Recruiting and Learning process excellence and Workday optimization.

What We're Looking For

  • Strong expertise in Workday Recruiting and/or Workday Learning.

  • Experience optimizing large-scale recruiting, learning, or talent management operations.

  • Deep understanding of recruiting workflows, learning administration, reporting, and business processes.

  • Proven ability to drive process improvement, automation, system adoption, and user engagement.

  • Strong stakeholder management and consulting skills.

  • Experience supporting global or fast-growing organizations is a plus.

  • Knowledge of talent development, compliance training, onboarding, and employee growth programs is highly desirable.

Success in This Role

You will leave Altera with:

  • Faster and more efficient recruiting processes.

  • Increased recruiter and HR team capacity.

  • Improved learning administration and employee development experiences.

  • Better reporting and operational visibility across recruiting and learning.

  • Higher adoption of Workday Recruiting and Learning capabilities.

  • Improved hiring manager, employee, and candidate experiences.

  • A scalable, best-in-class Workday Recruiting and Learning environment.

Salary Range

Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$91.8K- $132.9KUSD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Required

  • 5+ years of Workday Recruiting / Learning Modules experience.

  • Proven success optimizing recruiting processes, workflows, and business processes.

  • Strong expertise in Workday reporting, dashboards, and analytics.

  • Experience driving automation, process improvements, and operational efficiencies.

  • Strong stakeholder management and project execution skills.

  • Ability to identify root causes and implement scalable solutions.

Preferred

  • Workday Pro Recruiting / Learning Certification.

  • Experience supporting global recruiting organizations.

  • Experience with GEM, LinkedIn Recruiter, or other recruiting technologies.

  • Familiarity with AI, automation, and Talent Acquisition best practices.

  • Technology or semiconductor industry experience.

Ideal Candidate

  • Results-driven problem solver.

  • Passionate about improving recruiter productivity and hiring manager experience.

  • Collaborative consultant who can quickly assess challenges and deliver impactful solutions.

Job Type: Contract Employee (Fixed Term)Shift:Shift 1 (United States of America)Primary Location:San Jose, California, United States (Remote)Additional Locations:Arizona, United States (Remote), Austin, Texas, United States (Remote), Georgia, United States (Remote), New Jersey, United States (Remote), Oregon, United States (Remote)Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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