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Deep Learning Jobs in Florida (NOW HIRING)

$180K - $210K/yr

You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical ...

Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud platforms. * Experience with generative AI technologies. * Develop end-to-end applications using large ...

Sr. AI/ML Engineer

Orlando, FL

$97.60K - $134K/yr

Contract Rate: on W2 Only locals-inperson interview is must Required Skills: · - 12 years of experience · - Experience in machine learning and deep learning with Python. · - Familiarity with Azure ...

Design, train, and evaluate deep learning models for object detection, segmentation and classification on real-world infrastructure imagery. * Support MLOps and data pipelines : Collaborate with the ...

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 related frameworks - LLM Generative AI Solutions: Develop applications powered by Large Language ...

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks - LLM Generative AI Solutions: Develop applications powered by Large Language ...

Develop and integrate AI/ML models using machine learning algorithms and deep learning neural networks to work with Command Common Operating Picture data repositories. * Provide advanced analytics ...

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Deep Learning information

See Florida salary details

$8.2K

$62.7K

$104.6K

How much do deep learning jobs pay per year?

As of May 30, 2026, the average yearly pay for deep learning in Florida is $62,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $103,900.00 per year, depending on experience, location, and employer.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.
What are the most commonly searched types of Deep Learning jobs in Florida? The most popular types of Deep Learning jobs in Florida are:
What cities in Florida are hiring for Deep Learning jobs? Cities in Florida with the most Deep Learning job openings:

Other

Posted 8 days ago


Job description

  • AI/ML Engineer, minimum 8+ yrs of experience Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit‑learn)
  • Hands‑on experience with machine learning algorithms (regression, classification, clustering, ensembles) Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras)
  • Working knowledge of data preprocessing, feature engineering, and model evaluation
  • Experience building and consuming REST APIs (Flask, FastAPI, or similar)
  • Database experience with SQL or NoSQL Version control using Git and collaborative development practices