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Jupyter Notebook Jobs in Florida (NOW HIRING)

... Jupyter Notebook • Experience with DataRobot • Experience with GEN AI and LLMs • Real-time experience in Unix platform • Ability to work with Business users, Engineering team, SA teams ...

Qualifications : Required : • Intermediate level role responsible for assisting Blue data management • Supporting Dataiku • Supporting Driverless AI • Supporting Jupyter Notebook • ...

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data stewardship, and catalog integration * OSINT analysis techniques and structured reporting workflows

Develop and deliver training on the use of Jupyter Notebooks, API integrations, metadata management, and structured data layer development. * Demonstrate familiarity with secure data environments ...

Python developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... Jupyter Notebook on AEN • Working with REST API exception handling • Multithreading, multiprocessing, Asynchronous programming • Lambda functionality • Strong problem-solving skills • A ...

Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities Analyze raw data ...

... Jupyter Notebooks) Additional Information Responsibilities • Analyze raw data: assessing quality, cleansing, structuring for downstream processing • Design accurate and scalable prediction ...

Jupyter Notebook-based data engineering and geospatial data layer creation. * Metadata tagging, data stewardship, and catalog integration. * OSINT analysis techniques and structured reporting ...

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Jupyter Notebook information

What is a jupyter notebook?

A Jupyter Notebook job typically involves using Jupyter Notebooks to develop, test, and document code, often in data science, machine learning, or research roles. Professionals in these roles use Jupyter to analyze data, visualize results, and share insights through interactive documents. Common responsibilities may include writing Python code, integrating with libraries like Pandas or TensorFlow, and collaborating on projects. These jobs are common in academia, technology, and data-driven industries.

What are the key skills and qualifications needed to thrive in the jupyter notebook position, and why are they important?

Jupyter Notebook is not a professional job title; rather, it is a widely-used open-source web application for interactive computing, data analysis, and visualization. Expertise in programming languages like Python, familiarity with data science tools, and experience using Jupyter Notebooks are typically required for roles utilizing this technology. Strong analytical thinking, clear communication, and collaboration skills are important for working with diverse teams and presenting data-driven insights. These skills enable professionals to efficiently use Jupyter Notebook as a platform for sharing reproducible research and collaborating on data projects.

How is jupyter notebook used in daily workflows for data science and analytics teams?

Jupyter Notebook is frequently used by data science and analytics professionals to organize explorative code, visualize data, and document processes within a single, shareable environment. On a typical day, team members might use Jupyter Notebooks to prototype machine learning models, perform data cleaning and transformation, and generate interactive reports. These notebooks support collaborative work by allowing team members to review, modify, and comment on each other's analyses in real time. Leveraging Jupyter Notebooks in this way helps streamline teamwork and improve transparency throughout the data analysis lifecycle.

What are the most commonly searched types of Jupyter Notebook jobs in Florida?

The most popular types of Jupyter Notebook jobs in Florida are:

Infographic showing various Jupyter Notebook job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 74% In-person, and 26% Remote job distribution.

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Syntricate Technologies is looking for an AI/ML engineer to join their team in Tampa, FL. This intermediate level role involves assisting with Blue data management and supporting various AI tools and platforms while collaborating with business users and engineering teams.
Responsibilities:
• It is an intermediate level role responsible for assisting Blue data management, supporting Dataiku, Driverless AI, Juypter Notebook ,DataRobot. GEN AI and LLMs.
• We need real time experience in Unix platform as we will be working with Business users, Engineering team, SA teams, vendors and HPE folks.
Qualifications:
Required:
• Intermediate level experience in AI/ML engineering
• Experience with Blue data management
• Support experience with Dataiku
• Support experience with Driverless AI
• Experience with Jupyter Notebook
• Experience with DataRobot
• Experience with GEN AI and LLMs
• Real-time experience in Unix platform
• Ability to work with Business users, Engineering team, SA teams, vendors, and HPE folks
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.