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Pytorch Jobs in Florida (NOW HIRING)

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 ...

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

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 (TensorFlow experience acceptable) • Airflow for job orchestration, particularly managing resources between training and inference workloads • Strong Kubernetes experience including ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini ...

PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ability to extract relevant information from data sets. The ability to obtain and maintain a US security ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

TensorFlow / PyTorch * FastAPI * Docker * Git Secondary Skills * SQL * Azure / AWS / GCP * Kubernetes * MLflow * Hugging Face Transformers * CI/CD Pipelines * REST APIs * Linux * Elasticsearch * Data ...

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Pytorch information

See Florida salary details

$64.1K

$115K

$164.9K

How much do pytorch jobs pay per year?

As of Aug 7, 2026, the average yearly pay for pytorch in Florida is $114,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,049.00 and $140,599.00 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 the most commonly searched types of Pytorch jobs in Florida? The most popular types of Pytorch jobs in Florida are:
What cities in Florida are hiring for Pytorch jobs? Cities in Florida with the most Pytorch job openings:
Infographic showing various Pytorch job openings in Florida as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $114,964 per year, or $55.3 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 5 days ago


Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/hr
MSP Owner: Shilpa Bajpai
Location: Tampa, FL- 100% onsite
Duration: 6 months
skill id: 10741497
Role: Data Science/ML
Skills: Digital : Data Science~Digital : Python~Digital : Apache Spark
Experience Required: 6-8
Role Descriptions:
Programming Libraries Expert-level proficiency in Python and its core data science libraries (Pandas| NumPy| Scikit-learn).
Strong proficiency in SQL for complex data extraction and manipulation.
Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch.
Statistical Modeling Deep understanding of statistical concepts and a wide range of machine learning algorithms| with proven experience in time-series forecasting and anomaly detection.
Big Data Technologies Demonstrable experience working with large datasets using distributed computing frameworks| specifically Apache Spark.
Database Systems Experience querying and working with data from multiple relational database systems (e.g.| PostgreSQL| Oracle| MS SQL Server).
Cloud Platforms Experience building and deploying data science solutions on a major cloud platform (AWS| GCP| or Azure).
Familiarity with their native ML services (e.g.| AWS SageMaker| Google Vertex AI) is a strong plus.
MLOps Tooling Practical experience with MLOps principles and tools for model versioning| tracking| and deployment (e.g.| MLflow| Docker).
Communication and Storytelling Excellent verbal and written communication skills| with a proven ability to explain complex technical concepts to a non-technical audience through visual storytelling., Project Code :