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Tensorflow Pytorch Jobs in North Port, FL (NOW HIRING)

Working experience with Python and at least one computer vision or deep learning library (OpenCV, PyTorch, TensorFlow, scikit-image, or similar) * Comfort with image processing and geometry ...

Working experience with Python and at least one computer vision or deep learning library (OpenCV, PyTorch, TensorFlow, scikit-image, or similar) * Comfort with image processing and geometry ...

Working experience with Python and at least one computer vision or deep learning library (OpenCV, PyTorch, TensorFlow, scikit-image, or similar) * Comfort with image processing and geometry ...

Tensorflow Pytorch information

See North Port, FL salary details

$34.5K

$112.9K

$180.8K

How much do tensorflow pytorch jobs pay per year?

As of Aug 24, 2026, the average yearly pay for tensorflow pytorch in North Port, FL is $112,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $125,200.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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.

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 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.

What job categories do people searching Tensorflow Pytorch jobs in North Port, FL look for?

The top searched job categories for Tensorflow Pytorch jobs in North Port, FL are:

What cities near North Port, FL are hiring for Tensorflow Pytorch jobs?

Cities near North Port, FL with the most Tensorflow Pytorch job openings:

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL

Henpen Corporation

Sarasota, FL • On-site

$100 - $150/hr

Other

Posted 6 days ago


Job description

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL
  • Sarasota, Florida

Must be TSI/SSBI/SCI to move forward. if not, your application will not be considered.

Sarasota, Florida, USA

Job Description

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Qualifications
  • BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
  • Minimum 1-year hands‑on experience in AI or ML in a professional environment (3-5 years preferred)
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
  • Solid programming background with experience using statistical and signal analysis libraries
  • Experience with neural network architectures including deep learning models
  • Understanding of transformer architectures and attention mechanisms
  • Strong understanding of MLOps, deployment and processing pipelines, testing/validation
  • TS/SCI active clearance required.
  • U.S. Citizenship required
Nice to have, but not required:
  • Understanding of digital signal processing fundamentals
  • Experience with RFML
  • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
  • Knowledge of AI applications for autonomous decision-making and analysis
  • Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches
  • Experience with reinforcement learning, human feedback, and related system learning methods
  • Experience creating and deploying containerized AI models with Docker/Kubernetes
  • Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • Experience with model monitoring, A/B testing, and performance optimization
  • Experience with real-time inference systems and low-latency model serving
  • Knowledge of adversarial ML and AI security/robustness techniques
  • Experience with graph neural networks for network analysis
  • Experience in design, deployment, support of AI or ML model for significant real-world applications
Job Duties:
  • You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
  • This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
  • This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams.
  • You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

FULL RELOCATION plus Industry best benefits & stock.

Why is This a Great Opportunity

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

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