1

Deep Learning Ai Jobs in Florida (NOW HIRING)

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

next page

Showing results 1-20

Deep Learning Ai information

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What cities in Florida are hiring for Deep Learning Ai jobs?

Cities in Florida with the most Deep Learning Ai job openings:

Infographic showing various Deep Learning Ai job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Information Technology_USA - USA_Engineer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Contractor

Re-posted 28 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Woonsocket, RI
Duration: 6 months
skill id: 10721291
Experience:
5-15 years (configurable)
Role Overview
We are seeking a highly skilled AI Engineer to design, develop, deploy, and scale Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes. The role focuses on applying ML, Deep Learning, and Generative AI capabilities to solve complex enterprise problems and integrate AI solutions into production systems.
Key Responsibilities
• Design, build, train, evaluate, and deploy machine learning and deep learning models
• Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
• Perform data preprocessing, feature engineering, and model validation
• Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
• Integrate AI models into microservices and enterprise platforms
• Collaborate with business and delivery teams to translate requirements into AI use cases
• Ensure compliance with security, privacy, and responsible AI standards
Required Technical Skills
• Strong fundamentals in Machine Learning, Deep Learning, and Statistics
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with LLMs and Generative AI frameworks
• Exposure to Cloud platforms (Azure/AWS/GCP)
• Knowledge of APIs, microservices, Docker, Kubernetes
Preferred Skills
• Experience in Retail or Enterprise Transformation programs
• Knowledge of MLOps and Model Governance
• Exposure to Agile delivery environments
Soft Skills
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Continuous learning mindset
Success Metrics
• Delivery of scalable, reliable AI solutions
• Measurable business impact from AI initiatives
• Strong collaboration with cross-functional teams
Skills: Digital : Python ~ Digital : Machine Learning ~ AI Agents ~ AI & Gen AI - Products & Tools, Project Code :