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Machine Learning Ai Developer Jobs in Florida (NOW HIRING)

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Collaborate with engineering and product teams to integrate AI capabilities into enterprise ...

Deloitte

Oracle AI Manager

Miami, FL

... machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices Experience applying AI solutions in finance, healthcare, or supply chain environments ...

Deloitte

Oracle AI Manager

Tampa, FL · On-site

... machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices Experience applying AI solutions in finance, healthcare, or supply chain environments ...

ClifyX

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

This role possesses an in-depth subject matter expertise of design, Machine Learning, AI/Deep Learning, software development, coding, testing and application programming and assists in aligning ...

Citadel

Machine Learning Researcher, Options

Miami, FL · On-site

Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google ...

Citadel

Machine Learning Engineer

Miami, FL · On-site

Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...

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Machine Learning Ai Developer information

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
What are popular job titles related to Machine Learning Ai Developer jobs in Florida? For Machine Learning Ai Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Florida look for? The top searched job categories for Machine Learning Ai Developer jobs in Florida are:
What cities in Florida are hiring for Machine Learning Ai Developer jobs? Cities in Florida with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you
AI engineer

AI engineer

Indotronix International Corporation

Fort Lauderdale, FL • On-site

$109K - $131K/yr

Full-time

Posted 23 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 logo

About Indotronix

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

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