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Machine Learning Engineer Opt Jobs in Miami, FL (NOW HIRING)

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$71K - $96K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

Lead ML Data Engineer, AI Core

Miami, FL

$109K - $131K/yr

As a Machine Learning Engineer in AI Core, Data Intelligence, you'll work across a broad spectrum - from building scalable data infrastructure and feature pipelines that feed our state-of-the-art ...

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production--integrating agentic AI systems into our product. This role is engineering ...

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 ...

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Machine Learning Engineer Opt information

See Miami, FL salary details

$30.1K

$123.2K

$185.1K

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

As of Jun 10, 2026, the average yearly pay for machine learning engineer opt 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 are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Miami, FL? For Machine Learning Engineer Opt jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Machine Learning Engineer Opt jobs? Cities near Miami, FL with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer

Machine Learning Engineer

Intraedge

Sunrise, FL • Hybrid

Other

Posted 11 days ago


Job description

Machine Learning Engineer - Generative Al

Long term contract

Sunrise, FL (Hybrid-3 days onsite)

Direct client- Immediate client interview

Job description:

We are seeking a Machine Learning Engineer to design, build, and deploy Generative Al solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAl use cases, from model selection to production-ready systems.

Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google Cloud Platform

Key Responsibilities

Develop and productionize GenAl applications using LLMs (open-source and closed-source).

Design agentic workflows using LangChain and LangGraph.

Implement short-term and long-term memory strategies for LLM-based systems.

Optimize prompts, retrieval pipelines, and orchestration logic.

Colaborate with product and platform teams to deliver scalable Al solutions.

Required Qualifications

Strong experience with LLMs (e.g., OpenAl, Anthropic, Llama, Mistral).

Hands-on experience with LangChain and/ or LangGraph.

Solid understanding of LLM memory architectures and state management.

Proficiency in Python and ML engineering best practices.

Nice to Have

Experience with Google Cloud Platform services (e.g.,Vertex Al, BigQuery, GCS).

Experience deploying ML/GenAl systems in production environments.


IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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