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Python Ml Developer Jobs in Miami, FL (NOW HIRING)

SynthBee, Inc.

Cloud Engineer

Pembroke Pines, FL · On-site

$52.50 - $70.25/hr

... integrating ML models into production. • Familiarity with common programming languages (Python, Java or JavaScript). • Ability to work within a large-scale, cross-functional project team ...

Deloitte

Manager - GenAI Full Stack Developer

Miami, FL · On-site

... ML or GenAI-enabled solutions. * Experience leading teams and delivering client-facing solutions ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...

Career Renew

Staff AI Engineer

Miami, FL · Remote

$175K - $250K/yr

ML engineering in production -- you've trained, deployed, and maintained models that run in ... Strong software engineering -- Python is your primary language, comfortable with Go or TypeScript ...

Royal Caribbean Cruise Line

Senior Data Engineer

Miami, FL

$101.40K - $137.70K/yr

Enable AI/ML and GenAI: Deliver governed training/inference datasets and feature foundations ... Applies DevOps principles to data pipelines to improve the cost, communication, integration, reuse ...

Royal Caribbean Group

Senior Data Engineer

Miami, FL · On-site

$101.40K - $137.70K/yr

Enable AI/ML and GenAI: Deliver governed training/inference datasets and feature foundations ... Applies DevOps principles to data pipelines to improve the cost, communication, integration, reuse ...

Banesco USA

AI Developer

Miami, FL · On-site

Proven experience developing and deploying AI/ML solutions on Google Cloud Platform (GCP) (e.g ... Advanced scripting skills in Python (Pandas, NumPy, Scikit-learn) and R. * Databases: Strong ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · On-site

Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · Remote

Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$71.10K - $96.20K/yr

More typical DevOps responsibilities for software development as required. Requirements Required ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66.50K - $89.90K/yr

More typical DevOps responsibilities for software development as required. Requirements Required ... Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar) * Experience building CI ...

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Python Ml Developer information

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$12

$56

$82

How much do python ml developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ml developer in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Miami, FL? For Python Ml Developer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Miami, FL look for? The top searched job categories for Python Ml Developer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Python Ml Developer jobs? Cities near Miami, FL with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Miami, FL as of May 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.
AI engineer

AI engineer

Indotronix International Corporation

Fort Lauderdale, FL • On-site

$109.50K - $131.40K/yr

Full-time

Posted 4 days ago

Job description

AI engineer | Fort Lauderdale, Florida, United States AI Engineer (Remote, Contract-to-Perm)
Location: Fort Lauderdale, FL (Remote)
Employment Type: C2C, Contract to Perm
About the Role
Join a forward-thinking team as an AI Engineer, where you'll deliver impactful machine learning solutions across diverse use cases. You'll take full ownership of projects, from data exploration to model deployment, working closely with a Senior ML/AI Engineer and reporting directly to the Director, ACE. Operate within an established MLOps framework while enjoying autonomy and opportunities to drive innovation. This is a fully remote position, offering flexibility and the potential for long-term growth.
Responsibilities
  • Develop, train, evaluate, and deploy ML/AI models for classification, regression, anomaly detection, NLP, and generative AI applications
  • Build and maintain robust data pipelines and feature engineering workflows for production models
  • Write clean, well-tested code and participate in peer code reviews to maintain high-quality standards
  • Monitor and retrain deployed models to address data drift or performance degradation
  • Create anomaly detection and predictive maintenance models using network telemetry and time-series data
  • Design and deploy NLP and speech models for call summarization, sentiment analysis, and agent assist tools
  • Build models for churn prediction, customer segmentation, next-best-action, demand forecasting, and operational optimization
  • Collaborate with internal teams to translate business problems into effective AI solutions
  • Contribute to MLOps practices, including model versioning, experiment tracking, and automated deployment

Required Skills and Experience
  • At least 2+ years in machine learning, AI engineering, or applied data science
  • Proven track record deploying ML models in production environments
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face)
  • Experience with data pipeline tools/frameworks (Spark, Airflow, dbt, SQL)
  • Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes)
  • Solid understanding of classical ML techniques and modern generative AI/LLM approaches
  • Clear communication skills with the ability to explain technical concepts to non-technical stakeholders
  • Strong problem-solving skills and independent project ownership

Preferred Skills
  • Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries
  • Familiarity with time-series data, network telemetry, or streaming data platforms
  • Hands-on experience with NLP, speech processing, or conversational AI
  • Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases)
  • Bachelor's or master's degree in Computer Science, Machine Learning, Data Science, or a related field

Benefits
  • 100% remote role with flexible work arrangements
  • Opportunity for contract-to-permanent conversion and career advancement
  • Work with cutting-edge AI and MLOps technologies
  • Collaborate with a highly skilled, innovative team
  • Direct impact on business-critical projects with visible outcomes

How to Apply
Ready to take your AI engineering career to the next level? Submit your resume today for immediate consideration. Candidates must be authorized to work in the US without sponsorship.
Indotronix Avani Group logo

About Indotronix Avani Group

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

Year founded

1986

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