ZipRecruiter

Log In

1

Mlops Jobs in Baton Rouge, LA (NOW HIRING)

Lindsay & Brownell

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

MLOps, model deployment, and lifecycle management * Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning * Azure Cognitive Services: Document Intelligence, Language Understanding ...

EisnerAmper

AI Solution Architect

Baton Rouge, LA · On-site

MLOps, model deployment, and lifecycle management * Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning * Azure Cognitive Services: Document Intelligence, Language Understanding ...

Eisneramper Llp

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

MLOps, model deployment, and lifecycle management * Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning * Azure Cognitive Services: Document Intelligence, Language Understanding ...

All JobsMlops JobsMlops Jobs in Baton Rouge, LA

Mlops information

See Baton Rouge, LA salary details

$93.8K

$147.2K

$175.1K

How much do mlops jobs pay per year?

As of Jul 28, 2026, the average yearly pay for mlops in Baton Rouge, LA is $147,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,070.00 and $159,861.00 per year, depending on experience, location, and employer.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

What are the key skills and qualifications needed to thrive as an MLOps Engineer, and why are they important?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What are MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are the most commonly searched types of Mlops jobs in Baton Rouge, LA? The most popular types of Mlops jobs in Baton Rouge, LA are:
What are popular job titles related to Mlops jobs in Baton Rouge, LA? For Mlops jobs in Baton Rouge, LA, the most frequently searched job titles are:
What cities near Baton Rouge, LA are hiring for Mlops jobs? Cities near Baton Rouge, LA with the most Mlops job openings:
Mlops jobs near you
Infographic showing various Mlops job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,190 per year, or $70.8 per hour.
AI Solution Architect

AI Solution Architect

Lindsay & Brownell

Baton Rouge, LA • On-site, Remote

$60.50 - $79.75/hr

Full-time

Posted 9 days ago

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 multiple 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

  • 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

Apply