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Machine Learning Engineer Associate Jobs in Miami, FL

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

About Opendoor At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It ...

Strong coding and engineering skills Responsibilities * Develop and improve / Voice Generation models * Train, fine-tune, and evaluate speech models * Bring research ideas into production systems

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 ...

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 ...

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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 30, 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.

Machine Learning Engineer

Northern Base

Sunrise, FL โ€ข On-site

$90K - $110K/yr

Full-time

Posted 8 days ago


Job description

Job Description
Role -ย  Machine Learning Engineer
Experience Required -8+ Years
ย 
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-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
ย 
Must Have Technical/Functional Skills:
ย 
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-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
โ€ข Implement short-term and long-term memory strategies for LLM-based systems.
โ€ข Optimize prompts, retrieval pipelines, and orchestration logic.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualificationsย 
โ€ข Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
โ€ข Hands-on experience with LangChain and/or LangGraph.
โ€ข Solid understanding of LLM memory architecture and state management.
โ€ข Proficiency in Python and ML engineering best practices.
Nice to Have
โ€ข Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
โ€ข Experience deploying ML/GenAI systems in production environments.
โ€ข data scientist
โ€ข Can do ML model
ย 
Roles & Responsibilities
ย 
โ€ข Design, develop, and deploy GenAI applications using LLMs.
โ€ข Build and implement agentic workflows using LangChain/LangGraph.
โ€ข Develop ML models and production-ready AI solutions.
โ€ข Implement and manage LLM memory and state management strategies.
โ€ข Optimize prompts, retrieval pipelines, and orchestration workflows.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
โ€ข Deploy, monitor, and maintain AI/ML systems in production environments.
โ€ข Evaluate and integrate open-source and proprietary LLMs.
ย 
Base Salary Range : $90,000 to $110,000 Per Annum