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Tensorflow Pytorch Jobs in Miami, FL (NOW HIRING)

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn * Familiaritywith data processing tools like SQL, Spark, or Hadoop * Understandingof model deployment techniques and cloud ...

Pyramid Consulting, Inc.

AI/ML Engineer

Sunrise, FL · On-site

$50 - $54/hr

Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) is highly desired. * Looking for candidates who can build APIs around AI/ML solutions using Flask or FastAPI. * Database ...

AgileEngine

Senior Data Scientist ID71658

Miami, FL · On-site +1

... TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models; - Upper ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing ...

ReturnPro

AI/ML Engineer

Aventura, FL · On-site

... like TensorFlow, PyTorch, and Scikit-Learn. • Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI ...

ReturnPro

AI/ML Engineer

Aventura, FL

... like TensorFlow, PyTorch, and Scikit-Learn. · Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL · On-site

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Pae

AI Modeling Specialist (Senior)

Doral, FL

Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience applying advanced analytics, machine learning, and statistical modeling ...

Barkera

A.I. Specialist (Intern)

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

... TensorFlow, PyTorch, scikit-learn, other). - Understanding of data structures, algorithms, and statistical concepts. - Excellent problem-solving and analytical abilities, with a keen attention to ...

Lindsay & Brownell

AI Solution Architect

Fort Lauderdale, FL · On-site +1

$60.25 - $79.25/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

Eisneramper Llp

AI Solution Architect

Fort Lauderdale, FL · On-site +1

$60.25 - $79.25/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Miami, FL

Tensorflow Pytorch information

See Miami, FL salary details

$35.9K

$117.4K

$187.9K

How much do tensorflow pytorch jobs pay per year?

As of Jul 10, 2026, the average yearly pay for tensorflow pytorch in Miami, FL is $117,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Miami, FL? For Tensorflow Pytorch jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Miami, FL look for? The top searched job categories for Tensorflow Pytorch jobs in Miami, FL are:
What cities near Miami, FL are hiring for Tensorflow Pytorch jobs? Cities near Miami, FL with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI / ML Engineer

Rempli

Miami, FL • On-site

$95K - $150K/yr

Full-time

Posted 9 days ago

Job description


AI / ML Engineer
We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world problems.
If you loveworking with data, designing machine learning models, andturning complex algorithms into scalable solutions - we want tohear from you.
Responsibilities
  • Design, develop, and deploy machine learning models and AI solutions
  • Work withlarge datasets to build, train, and optimize algorithms
  • Collaboratewith data scientists, engineers, and product teams tointegrate AI into products
  • Monitor andimprove model performance, accuracy, and scalability
  • Stayup-to-date with the latest AI/ML research, tools, and frameworks
  • Documentsolutions and provide technical guidance to stakeholders

Qualifications
  • 2-5+ yearsexperience in AI, machine learning, or data science roles
  • Strongprogramming skills in Python, R, or similar languages
  • Experiencewith ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Familiaritywith data processing tools like SQL, Spark, or Hadoop
  • Understandingof model deployment techniques and cloud platforms (AWS,GCP, Azure)
  • Ability totranslate complex problems into practical AI solutions
  • Bonus:Advanced degree in Computer Science, Data Science, orrelated fields

Apply