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Machine Learning Engineer Associate Jobs in Miami, FL

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new ...

New

Machine Learning Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Coral Gables, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miami Beach, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miami, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miramar, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Doral, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). * In this role, you will work on end ...

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Additional ...

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Additional ...

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Additional ...

Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP). Additional ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

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Machine Learning Engineer Associate information

See Miami, FL salary details

$39.7K

$79K

$126.3K

How much do machine learning engineer associate jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer associate in Miami, FL is $79,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $90,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Miami, FL? The most popular types of Machine Learning Engineer jobs in Miami, FL are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Miami, FL? For Machine Learning Engineer Associate jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Miami, FL look for? The top searched job categories for Machine Learning Engineer Associate jobs in Miami, FL are:
What cities near Miami, FL are hiring for Machine Learning Engineer Associate jobs? Cities near Miami, FL with the most Machine Learning Engineer Associate job openings:
Infographic showing various Machine Learning Engineer Associate job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $79,037 per year, or $38 per hour.

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL โ€ข On-site

Full-time

PTO

Posted yesterday

New


Job description

First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.
Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we've been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.
We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.
JOB KEY RESPONSIBILITIES
  • Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
  • Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
  • Collaborate with software engineers, product managers, designers, and analysts.
  • Deliver testable, maintainable, and high-quality code.
  • Monitor, test, and continuously optimize our Machine Learning models.
  • Ensure that our user experience is the very best it can be.
  • Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
  • Collaborate with key internal stakeholders.
  • Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
  • Regularly update knowledge with the latest trends and developments in the machine learning industry.
  • Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

Requirements
WHAT YOU'LL BRING TO THE PARTY (MUST HAVES)
  • Minimum 2 years work experience.
  • Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
  • Experience with open source LLMs and relevant hardware to host them.
  • Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
  • Skilled in API integration with various providers and enhancing customer experience.
  • Deep familiarity with data structures, data modeling, and software architecture.
  • Proficiency in Python and SQL. R is considered a plus as well.
  • Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
  • Proficiency in using version control tools such as Git.
  • Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
  • Experience analyzing a feature in production using analytics and experiments.
  • Experience in applying machine learning models to solve real-world problems.

YOU'LL THRIVE IN THIS ROLE IF YOU'RE SOMEONE (GREAT-TO-HAVE)
  • Experience working in startups
  • Experience with cloud services such as AWS and Azure.
  • Knowledge of the automotive industry is a plus.
  • Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.

Benefits
  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced-whether that's yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth-be it a new course, certification, or skill you've been eyeing
  • Regular team events, social calls, the best company SWAG, and a vibrant remote culture

WHY JOIN SEEZ?
At Seez, we're all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We've created a space where great work gets noticed, collaboration is second nature, and our values aren't just posters on the wall; they guide everything we do.
We're a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It's the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.