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Pytorch Jobs in Florida (NOW HIRING)

Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks. * Deep understanding of data ...

... 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 ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts. * Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts. * Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.

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

... PyTorch or Scikit-learn • Experience with CI/CD processes and automation • Experience with Infrastructure as Code tools such as Terraform, Bicep • Proficiency in containerized application ...

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 Florida salary details

$64.1K

$115K

$164.9K

How much do pytorch jobs pay per year?

As of Jul 15, 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 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 $114,964 per year, or $55.3 per hour.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 13 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Hartford, CT/Remote
Duration: 6 months
skill id: 10856066
We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Responsibilities
• Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
• Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
• Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
• Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
• Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
• Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD.
Required Qualifications
• 6+ years of overall experience in software development focusing on AI/ML engineering.
• 2+ years of hands-on experience with deep learning for NLP/GenAI.
• Strong Python proficiency, including writing production-quality, testable, maintainable code.
• Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
• Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
• Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.
Preferred Qualifications
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
• Experience with vector databases and embedding workflows (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
• Experience deploying and scaling ML/LLM workloads on cloud platforms (Azure preferred; GCP/AWS acceptable).
• Familiarity with agentic architectures and multi-agent patterns (e.g., AutoGen or similar).
• Healthcare domain knowledge and/or experience building solutions in regulated environments.
Standard Technical Skills
• MLOps & Deployment: Model packaging and serving, CI/CD, containers (Docker), orchestration (Kubernetes), experiment tracking (MLflow), model registry, monitoring/observability.
• LLM Evaluation: Offline/online evaluation, prompt/version management, automated testing, hallucination and factuality checks, retrieval evaluation, human-in-the-loop review.
• Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system design, performance optimization.
• Security & Compliance: Secure coding, secrets management, PII/PHI handling, access control; familiarity with responsible AI principles is a plus.