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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 ...

Expert proficiency in Python, PyTorch, and Linux/command line * Familiarity with LLM in-context learning and prompt engineering * Basic understanding of modern LLM models, ecosystems, and pipelines ...

Machine Learning-Neural Networsk (Keras, Theano,Tensorflow, PyTorch and Caffe) Must be US citizen Straight out of college preferred Butler America Aerospace, LLC. is proud to provide an equal ...

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is ...

Sr Gen AI Engineer

Delray Beach, FL · On-site

$87K - $140K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments. * Strong communicator - able to translate complex model ...

PyTorch * MS or PhD in mathematics, physics, statistics, machine learning, or related quantitative disciplines * Kubernetes knowledge/experience Interview Process: * 30 minute phone screening * 2 ...

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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 Jun 5, 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 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 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 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 May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,964 per year, or $55.3 per hour.
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL • On-site

$104K - $126K/yr

Contractor

Posted 14 days ago


Job description

Description:
Title: Data Engineer (Core Data Engineer role)
1 year assignment.(Temp to perm: Based on openings and performance)
Davie, FL (Onsite)

Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.