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Deep Learning Developer Jobs in Florida (NOW HIRING)

Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. * Work with an international top-notch engineering team with full commitment on ...

Models incorporate advanced techniques: deep learning, sequence / time-series models ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

You will combine the best available open-source tools with deep internal expertise in modelling and ... learning and software development. * Strong engineering skills, including Python, CUDA, C+

Sr. Machine Learning Engineer

Bradenton, FL ยท Remote

$111K - $146.40K/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 ...

Python Developer

Tampa, FL ยท On-site

$45.75 - $63/hr

Python Developer Require a blend of strong programming proficiency (especially Python expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy ...

ML Engineer Location: CA, WA, FL, NY (Disney Hubs) - Onsite Orlando, Florida San Francisco ... Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key ...

ML Engineer Location: CA, WA, FL, NY (Disney Hubs) - Onsite Orlando, Florida San Francisco ... Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key ...

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Deep Learning Developer information

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

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 are Deep Learning Developers?

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.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

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:
Infographic showing various Deep Learning Developer job openings in Florida as of May 2026, with employment types broken down into 1% Locum Tenens, 31% Full Time, 62% Part Time, 5% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Machine Learning Developer

Machine Learning Developer

SynergisticIT

Saint Petersburg, FL

Other

Posted 6 days ago


Job description

Job Posting

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description
  • Perform statistical analysis
  • Flask introduction and Flask application
  • Tokenization and Ada boost
  • Work on CNN in python and SVR/SVM and isolation forest
  • Undertaking machine learning experiments and test
  • Designing machine learning programs
  • Developing deep learning systems to various use cases based on the business needs and
  • Finally implementing suitable AI/Client algorithms
Skills Required

ยท Applied Mathematics. Math's is quite an important skill in the arsenal of a Machine Learning engineer.

ยท Computer Science Fundamentals and Programming.

ยท Data Modeling and Evaluation.

ยท Neural Networks.

ยท Natural Language Processing.

ยท Communication Skills.

Education Requirement: - Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

ยท On Job Technical support

ยท E- verified

ยท Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you