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Deep Learning Developer Jobs in Florida (NOW HIRING)

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Echo IT Solutions is seeking a Python Developer with strong programming proficiency and expertise in deep learning frameworks. The role involves building and deploying models while mastering ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

Utilize knowledge of classical machine learning and deep learning algorithms to address specific ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

Capgemini

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

eTeam

Banking AI Engineer

Tampa, FL · On-site

Job Summary : eTeam is seeking a highly skilled AI Solutions Developer with expertise in building ... learning and deep learning models using PyTorch TensorFlow and related frameworks • LLM ...

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Cooper City, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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Deep Learning Developer information

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

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

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

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

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

Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer 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.

Python Developer

Tampa, FL • On-site

Echo IT Solutions
See more jobs at Echo IT Solutionsexternal

$47.50 - $65.50/hr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Echo IT Solutions is seeking a Python Developer with strong programming proficiency and expertise in deep learning frameworks. The role involves building and deploying models while mastering Generative AI and Large Language Models.
Responsibilities:
• Require a blend of strong programming proficiency (especially Python – expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models.
• Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.
Qualifications:
Required:
• Strong programming proficiency in Python (expert level)
• Deep learning frameworks (PyTorch, TensorFlow)
• Data engineering skills to build and deploy models
• Mastering Generative AI
• Large Language Models (LLMs) via prompt engineering and fine-tuning
• MLOps
• Cloud platforms (AWS/Azure/GCP)
• Foundational mathematics
• High proficiency in Python is mandatory
• Node JS, R, C++, or Java
• Expertise in PyTorch or TensorFlow
• Libraries like Scikit-learn, Keras, and Hugging Face
• Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools
• Techniques for prompt engineering
• Retrieval-Augmented Generation (RAG)
• Model fine-tuning
Company:
Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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