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Tensorflow Pytorch Jobs in Boca Raton, FL (NOW HIRING)

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Data & AI Engineer

Boca Raton, FL ยท On-site

$170 - $230/hr

LangChain, Hugging Face, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLP, MCP, NLTK, Airflow, Spark, Mistral, ML studio, shell scripting, UAMI, Yaml, and advanced libraries and ...

Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Sklearn). Knowledge, Skills, and Abilities * Self-Starter to decompose a problem and plan a solution. * Ability ...

Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Sklearn). Knowledge, Skills, and Abilities * Self-Starter to decompose a problem and plan a solution. * Ability ...

Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Sklearn). Knowledge, Skills, and Abilities * Self-Starter to decompose a problem and plan a solution. * Ability ...

Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Sklearn). Knowledge, Skills, and Abilities * Self-Starter to decompose a problem and plan a solution. * Ability ...

Data Engineer

Davie, FL ยท 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 ...

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Tensorflow Pytorch information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do tensorflow pytorch jobs pay per year?

As of Aug 24, 2026, the average yearly pay for tensorflow pytorch in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 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 are popular job titles related to Tensorflow Pytorch jobs in Boca Raton, FL?

For Tensorflow Pytorch jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Boca Raton, FL look for?

The top searched job categories for Tensorflow Pytorch jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Tensorflow Pytorch jobs?

Cities near Boca Raton, FL with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Boca Raton, FL as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $116,475 per year, or $56 per hour.

Lead Machine Learning Engineer

Expert Technology Services

Fort Lauderdale, FL โ€ข On-site

$98K - $129K/yr

Contractor

Posted 6 days ago


Job description

Job Summary (List Format):
- Lead the design, development, and delivery of production-grade machine learning (ML) systems for a major casino industry client.
- Provide technical leadership (Lead/Principal/Senior level) in applied AI and ML projects, with at least 8+ years of hands-on ML experience and 3+ years in a senior technical role.
- Build, deploy, and optimize real-time inference architectures and ML solutions at scale.
- Architect and implement recommendation systems, personalization engines, predictive analytics solutions, and customer intelligence platforms.
- Collaborate with Data Engineering teams to create ML-ready datasets and data pipelines.
- Oversee feature engineering and manage the full ML lifecycle.
- Utilize advanced ML tools and frameworks including Python, Databricks, MLflow, TensorFlow, PyTorch, and Scikit-learn.
- Apply knowledge of MLOps, Generative AI, and agentic AI architectures to support enterprise AI transformation initiatives.
- Leverage experience with customer data platforms, identity graphs, and real-time recommendation platforms.
- Employ expertise in Snowflake and large language model (LLM) powered applications as needed.
- Preferred experience in hospitality, gaming, entertainment, retail, loyalty, or consumer-facing digital organizations.
- Requires a Bachelor’s degree (Master’s or higher preferred) in Computer Science, Data Science, Engineering, Mathematics, or related field.
- Position is ideally hybrid onsite in Hollywood, FL, but offers flexibility for remote work.
- Must have a LinkedIn profile for consideration. No visa sponsorship available.