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Pytorch Jobs in Miami, FL (NOW HIRING)

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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large ...

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

... 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 agentic frameworks. · ...

... 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 agentic frameworks ...

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

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Pytorch information

See Miami, FL salary details

$75K

$134.4K

$192.8K

How much do pytorch jobs pay per year?

As of Jul 15, 2026, the average yearly pay for pytorch in Miami, FL is $134,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,955.00 and $164,429.00 per year, depending on experience, location, and employer.

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

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are popular job titles related to Pytorch jobs in Miami, FL? For Pytorch jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Pytorch jobs? Cities near Miami, FL with the most Pytorch job openings:
Infographic showing various Pytorch job openings in Miami, FL as of July 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $134,449 per year, or $64.6 per hour.

AI / ML Engineer

Rempli

Miami, FL • On-site

$95K - $150K/yr

Full-time

Posted 15 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