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Ai Operations Jobs in Florida (NOW HIRING)

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution. What you will need: 6 years of relevant ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution. What you will need: 6 years of relevant ...

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

New

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

New

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

Showing results 21-40

Ai Operations information

How does an AI Operations professional typically collaborate with data scientists and IT teams?

AI Operations professionals often act as a bridge between data science teams, who develop machine learning models, and IT teams, who manage infrastructure. They work closely to ensure models are deployed smoothly, monitored for performance, and integrated into production environments. Regular communication and troubleshooting are essential, as AI Ops professionals must understand both the technical requirements of the models and the operational constraints of the systems. This collaborative approach helps maintain reliability and scalability of AI solutions in a business setting.

What do AI operations do?

AI operations involve managing and maintaining AI systems to ensure their reliable performance, including tasks like deploying models, monitoring system health, troubleshooting issues, and optimizing workflows. Professionals in this field often use tools such as cloud platforms and automation scripts to support AI infrastructure and may require knowledge of machine learning, data management, and scripting languages.

What is AI Operations?

AI Operations, often referred to as AIOps, is the use of artificial intelligence and machine learning technologies to automate and enhance IT operations. It involves analyzing large volumes of data generated by IT systems to detect issues, predict outages, and automate responses. AIOps helps organizations improve efficiency, reduce downtime, and quickly resolve problems by providing actionable insights and automating repetitive tasks. This approach is increasingly important as IT environments become more complex and data-driven.

What are the key skills and qualifications needed to thrive as an AI Operations professional, and why are they important?

To thrive in AI Operations, you need a strong background in computer science, data analytics, and machine learning, often supported by a degree in a related field. Familiarity with tools like Python, TensorFlow, cloud platforms (e.g., AWS, Azure), and experience with AI/ML monitoring systems is essential. Critical thinking, problem-solving, and effective communication are key soft skills for managing incidents and collaborating with cross-functional teams. These skills ensure the smooth deployment, monitoring, and optimization of AI systems, which are vital for operational reliability and business success.

What is the difference between Ai Operations vs Data Scientist?

AspectAi OperationsData Scientist
Required CredentialsCertifications in AI/ML, programming skillsStatistics, data analysis, programming
Work EnvironmentOperational teams, AI deployment, maintenanceResearch, data analysis, modeling
Industry UsageAI system management, deployment, monitoringData analysis, predictive modeling, research

Ai Operations focuses on managing and maintaining AI systems in production, ensuring their performance and reliability. Data Scientists primarily analyze data, develop models, and generate insights. While both roles require technical skills and programming knowledge, Ai Operations emphasizes deployment and operational stability, whereas Data Scientists focus on data analysis and model development.

What are the most commonly searched types of Ai Operations jobs in Florida? The most popular types of Ai Operations jobs in Florida are:
Infographic showing various Ai Operations job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Lead ML Ops Engineer

Cliftonlarsonallen

Naples, FL • On-site

$96K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012