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Remote Internship Machine Learning Engineer Jobs in Baker, LA

AI Solution Architect

Baton Rouge, LA · 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 ...

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

Statics Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

Remote Internship Machine Learning Engineer information

See Baker, LA salary details

$25.1K

$41.8K

$86.5K

How much do remote internship machine learning engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote internship machine learning engineer in Baker, LA is $41,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

AI Solution Architect

AI Solution Architect

Eisneramper Llp

Baton Rouge, LA • On-site, Remote

$60.50 - $79.75/hr

Full-time

Posted 14 days ago


EisnerAmper rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 17 rated bookkeepers and accountants


Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking an AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm.

What it Means to Work for EisnerAmper:
  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:
  • Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers.

  • Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

  • Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot

  • Design agentic frameworks supporting initiation, execution, state management, logging, and error handling

  • Ensure adherence to data governance policies and responsible AI practices

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or related work experience.

  • 6+ years of software development experience with 4+ years in AI/ML architecture role

  • 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions

Preferred or Desired Qualifications
  • Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus)

  • Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem

  • Azure Machine Learning: MLOps, model deployment, and lifecycle management

  • Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning

  • Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision

  • Azure AI Search: Vector search, semantic search, and knowledge mining

  • Azure Databricks: Data engineering and ML model development

  • Programming Languages: Python, C#, JavaScript/TypeScript, SQL

  • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers

  • Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com

#LI-JR1

#LI-Hybrid

#LI-Remote

Preferred Location:
Iselin

What EisnerAmper employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


EisnerAmper logo

About EisnerAmper

Sourced by ZipRecruiter

EisnerAmper is one of the largest accounting, tax and business advisory firms in the U.S., with more than 3,000 employees and over 300 partners across the country. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today, and position them for success tomorrow. Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers and investors who serve these clients.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1963

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