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Artificial Intelligence Machine Learning Engineer Jobs in Miami, FL

AI Solutions Engineer

Fort Lauderdale, FL ยท On-site

$125 - $150/hr

Position Summary The AI Solutions Engineer will lead the development and implementation of artificial intelligence, machine learning, and automation solutions across Sound Income Group. As a new add ...

Senior ML Engineer

Hollywood, FL ยท On-site

$95K - $131K/yr

Client seeking a Senior Machine Learning Engineer in Fort Lauderdale, FL to design, develop, and deploy scalable machine learning solutions that power customer intelligence, personalization ...

This is more than an engineering role. It's an opportunity to help establish and shape our ... applied artificial intelligence, machine learning, and enterprise automation. The successful ...

Machine Learning Engineer II

Coral Gables, FL ยท On-site

$92K - $126K/yr

Job Summary The Machine Learning Engineer II supports the discovery, design, and delivery of AI- and automation-enabled solutions that improve operational workflows. The role partners with business ...

Engineer, AI/ML

Miami, FL ยท On-site

$150 - $200/hr

This is more than an engineering role. It's an opportunity to help establish and shape our ... applied artificial intelligence, machine learning, and enterprise automation. The successful ...

This is more than an engineering role. It's an opportunity to help establish and shape our ... applied artificial intelligence, machine learning, and enterprise automation. The successful ...

Showing results 41-60

Artificial Intelligence Machine Learning Engineer information

See Miami, FL salary details

$30.1K

$123.2K

$185.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for artificial intelligence machine learning engineer in Miami, FL is $123,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Miami, FL?

For Artificial Intelligence Machine Learning Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Miami, FL look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Miami, FL with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $122,967 per year, or $59.1 per hour.

AI Solutions Engineer

Socket.dev

Fort Lauderdale, FL โ€ข On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Description

POSITION: AI Solutions Engineer

Location & Hours: Onsite | M-F 8:30-5:00pm

FLSA Classification: Exempt

Who We Are

At Sound Income Group, our mission is to help independent financial professionals and their clients thrive, especially those approaching or in retirement. We provide a full suite of resources across financial education, investment strategies, marketing, and practice management to support long-term success.

Position Summary

The AI Solutions Engineer will lead the development and implementation of artificial intelligence, machine learning, and automation solutions across Sound Income Group. As a new add-to-staff position, this individual will have significant ownership in evaluating current processes, identifying opportunities to improve efficiency and cost effectiveness, and building solutions that deliver measurable business results.

This role requires a hands-on, highly autonomous engineer with broad expertise across machine learning, generative AI, data engineering, and business-process automation. The AI Solutions Engineer will partner with leaders across Marketing, Business Development, Recruiting, Sales, Coaching, Advisor Support, and Operations to understand departmental needs and determine which processes can be enhanced through AI and which require continued human oversight.

Key Responsibilities
  • Evaluate workflows, systems, and data across departments to identify opportunities for AI, machine learning, and automation.
  • Develop and maintain a prioritized AI roadmap based on business impact, feasibility, efficiency, cost-effectiveness, and risk.
  • Design, build, test, deploy, and maintain production-ready AI and machine-learning solutions.
  • Develop department-specific AI assistants, agents, and automation tools that improve productivity and support business needs.
  • Build solutions supporting lead generation, lead qualification, lead routing, recruiting, marketing, business development, and back-office operations.
  • Create and maintain reliable data pipelines and integrations across internal systems, databases, APIs, and third-party platforms.
  • Partner with department leaders and subject-matter experts to understand business challenges and translate them into practical technical solutions.
  • Determine whether each business need is best addressed through generative AI, machine learning, rules-based automation, third-party technology, or a human-led process.
  • Develop prototypes, gather user feedback, and convert validated concepts into secure, scalable, and maintainable solutions.
  • Establish benchmarks and reporting to measure solution accuracy, adoption, efficiency, cost savings, lead conversion, and overall business impact.
  • Implement appropriate security, privacy, permissions, human-review controls, and governance standards for AI solutions.
  • Evaluate AI platforms, vendors, models, and emerging technologies and make recommendations regarding scalability, security, business fit, and cost.
  • Document technical requirements, architecture, data flows, procedures, and ongoing maintenance needs.
  • Educate employees and leaders on AI capabilities, limitations, responsible use, and adoption best practices.
  • Operate with a high degree of independence and take ownership of projects from initial discovery through implementation and ongoing optimization.

Requirements

Must-Have Qualifications

Background and Education:

  • Bachelorโ€™s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; equivalent experience may be considered.
  • Minimum of four years of experience across AI engineering, machine learning, and data engineering.
  • Proven experience owning AI or machine-learning solutions from discovery and development through production deployment and optimization.
  • Strong proficiency in Python, SQL, data pipelines, APIs, and system integrations.
  • Ability to translate complex business needs into practical solutions and operate independently with minimal instruction.

Preferred Experience:

  • Experience with Databricks, Snowflake, cloud infrastructure, and MLOps or LLMOps.
  • Experience building generative AI applications, AI agents, workflow automations, RAG solutions, or internal assistants.
  • Knowledge of AI security, privacy, governance, permissions, and human-review controls.
  • Experience supporting enterprise-wide AI initiatives, evaluating vendors, and making build-versus-buy recommendations.
  • Experience in financial services, wealth management, fintech, or another regulated industry is preferred.
Physical & Work Environment Requirements
  • Ability to work for extended periods at a desk using a computer.
  • Ability to lift up to 10 pounds if/when necessary.
  • Routine use of telephone and email.
  • Office-based role with potential travel to conferences, events, and satellite offices as needed.
Benefits

Weโ€™re proud to offer a comprehensive benefits package that supports your professional and personal well-being, including:

  • 100% employer-covered medical benefits and HRA account
  • Dental & vision plans
  • PTO + 10 NYSE company holidays per year
  • 401K with company match program
  • Free onsite parking
  • Company-provided laptop and required technology
  • Access to an on-site gym (free of charge)
  • Weekly carwash (at an additional cost)

Sound Income Group is an E-Verify employer.

Sound Income Group is an equal opportunity employer that complies with all applicable federal, state, and local laws, rules and regulations. It is our policy to employ and promote qualified candidates without discrimination on the basis of race, color, sex, age, origin, sexual orientation, marital status, disability or any other characteristic protected by law. Our hiring decisions are based solely on merit, qualifications and business needs.

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