AI/ML Engineer
Tampa, FL · On-site
This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development. Requirements of the AI/ML Engineer Required ...
AI/ML Engineer
Tampa, FL · On-site
This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development. Requirements of the AI/ML Engineer Required ...
AI Data Engineer
Fort Lauderdale, FL · On-site
$109K - $131K/yr
The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...
AI Data Engineer
Fort Lauderdale, FL · On-site
$109K - $131K/yr
The role involves designing and maintaining data pipelines for AI model training and developing autonomous AI applications to enhance various operational processes. Responsibilities : • Design ...
... model accuracy, relevance, and faithfulness. • Test prompt engineering techniques to refine AI-generated responses. • Execute SQL queries in Snowflake to validate database integrity and ...
... model accuracy, relevance, and faithfulness. • Test prompt engineering techniques to refine AI-generated responses. • Execute SQL queries in Snowflake to validate database integrity and ...
AI Solution Architect
Town N Country, FL · On-site
$57 - $75/hr
Latest AI Models * Large Language Models (LLMs) * Enterprise AI Architecture * Cloud AI/ML Platforms * Data & MLOps Integration Preferred Skills * Responsible AI * AI Governance * Vector Databases
AI Solution Architect
Town N Country, FL · On-site
$57 - $75/hr
Latest AI Models * Large Language Models (LLMs) * Enterprise AI Architecture * Cloud AI/ML Platforms * Data & MLOps Integration Preferred Skills * Responsible AI * AI Governance * Vector Databases
Model serving infrastructure, low-latency inference, auto-scaling, and multi-region deployment for production models. * Agentic AI runtime, the infrastructure layer that supports autonomous AI agents ...
Model serving infrastructure, low-latency inference, auto-scaling, and multi-region deployment for production models. * Agentic AI runtime, the infrastructure layer that supports autonomous AI agents ...
Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into ...
Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into ...
Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into ...
Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Project Manager Data & AI
Miami, FL · On-site
$49.50 - $66.75/hr
Manage data pipelines, AI model development lifecycle, and deployment coordination * Ensure compliance with data governance, privacy, and security standards * Prepare and present project status ...
Project Manager Data & AI
Miami, FL · On-site
$49.50 - $66.75/hr
Manage data pipelines, AI model development lifecycle, and deployment coordination * Ensure compliance with data governance, privacy, and security standards * Prepare and present project status ...
Ai Model information
What job makes AI models?
Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.
How to become an AI model?
To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.
What is the difference between Ai Model vs Data Scientist?
| Aspect | Ai Model | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning, programming skills, sometimes certifications in AI/ML | Degree in data science, statistics, computer science; certifications beneficial |
| Work Environment | Focus on developing, training, and deploying AI models | Data analysis, interpretation, and visualization; often collaborates with AI teams |
| Industry Usage | Used in AI development, automation, and predictive modeling | Applied across industries for insights, reporting, and decision-making |
While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.
How much do AI models get paid?
AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.
What are some common challenges faced by professionals working as AI Model developers, and how can they address them?
Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.
What are AI models?
AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.
What are the key skills and qualifications needed to thrive as an AI Model, and why are they important?
To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are popular job titles related to Ai Model jobs in Florida? For Ai Model jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Model jobs in Florida look for? The top searched job categories for Ai Model jobs in Florida are:
What cities in Florida are hiring for Ai Model jobs? Cities in Florida with the most Ai Model job openings:
Job description
Job Summary of the AI/ML Engineer
We are seeking an experienced AI Engineer to join our Center of Excellence team, driving the development and implementation of artificial intelligence and intelligent automation solutions across the organization. This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development.
Requirements of the AI/ML Engineer
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Minimum 3 years of hands-on experience in software development and experience in developing and deploying AI/ML solutions in production environment.
- Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch)
- Experience with cloud AI platforms (AWS, Azure, or GCP)
- Experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate)
- Solid understanding of deep learning, neural networks, and AI algorithms
- Experience with AI model deployment and containerization (Docker, Kubernetes)
- Knowledge of process automation, workflow design, and business process optimization
Preferred Qualifications
- Experience with large language models (LLMs) and generative AI
- Knowledge of AI model monitoring, governance, and responsible AI practices
- Experience with intelligent document processing (IDP) and OCR technologies
- Familiarity with process mining tools and automation analytics
- Experience building real-time AI systems and APIs
- Previous experience in a CoE or platform role
- RPA Developer or AI/ML certifications (UiPath, Automation Anywhere, AWS, Azure)
Technical Skills
- Programming: Python, SQL, VB.NET/C#/Java
- AI/Deep Learning: Neural Networks, NLP, Computer Vision, Generative AI
- Frameworks: TensorFlow, PyTorch, OpenAI APIs
- RPA Platforms: UiPath, Automation Anywhere, Power Automate
- AI Platforms: Azure AI, Google AI Platform
- Integration: REST APIs, Webhooks, Message Queues
- Tools: Git, Docker, Kubernetes, Orchestrator
Soft Skills
- Excellent problem-solving and analytical abilities with process improvement mindset
- Strong communication skills to explain AI and automation concepts to non-technical stakeholders
- Collaborative mindset with cross-functional team experience
- Self-motivated with ability to manage multiple priorities
- Passion for continuous learning in AI and automation advancements
- Business acumen to identify and quantify automation opportunities
Responsibilities of the AI/ML Engineer
The specific duties of the AI/ML Engineer include but are not limited to:
AI & RPA Solution Development
- Design, develop, and deploy AI models and RPA solutions to address complex business challenges
- Build and optimize AI pipelines including data preprocessing, model training, and deployment
- Develop and maintain intelligent automation workflows using RPA platforms
- Implement and maintain scalable AI and RPA infrastructure and frameworks
- Integrate AI capabilities with RPA bots for intelligent automation
- Conduct experiments to evaluate AI model and automation performance and implement improvements
Support to set CoE Standards
- Support leadership to establish and maintain AI and RPA best practices, standards, and governance frameworks
- Develop reusable AI and automation components and templates for enterprise-wide use
- Create technical documentation and guidelines for AI and RPA development
- Support to evaluate and recommend new AI, RPA technologies and platforms
- Support to define automation opportunity assessment criteria and prioritization frameworks
Collaboration & Innovation
- Partner with stakeholders to identify automation opportunities and deliver AI-powered solutions
- Provide technical guidance and mentorship on AI and RPA technologies
- Conduct training sessions to build AI and automation capabilities across teams
- Stay current with latest AI, RPA research and industry trends
- Prototype and evaluate emerging technologies including generative AI, LLMs, and document processing (RAG)
Location
111 West Oak Ave., Tampa, FL 33602
#LI-AC1
Benefits/Compensation
About Axogen
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
201 - 500 Employees
Headquarters location
Alachua, FL, US
Year founded
2002