2

Remote Python Ai Jobs in Virginia (NOW HIRING)

... Python, AI, and Microsoft Power Platform) to real-world business challenges. The intern will work ... Hybrid or remote (depending on business needs) * Fast-paced, innovation-focused team Education

... Python, AI, and Microsoft Power Platform) to real-world business challenges. The intern will work ... Hybrid or remote (depending on business needs) * Fast-paced, innovation-focused team Qualifications ...

Python Developer

Herndon, VA · On-site +1

$51.75 - $71.25/hr

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities ... Ability to work in fast-paced environments delivering AI/ML solutions Physical Requirements:

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts.

next page

Showing results 1-20

Remote Python Ai information

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Python Ai jobs in Virginia? The most popular types of Python Ai jobs in Virginia are:
What cities in Virginia are hiring for Remote Python Ai jobs? Cities in Virginia with the most Remote Python Ai job openings:
Semester Underwriting Intern

Semester Underwriting Intern

Berkley

Glen Allen, VA • On-site, Remote

Internship

Posted 20 days ago


Job description

Berkley Specialty Excess, a W. R. Berkley Company, is a wholesale-dedicated excess and surplus lines commercial insurance carrier. We specialize in underwriting difficult-to-place moderate to high-risk commercial business looking for creative solutions to new and unusual complex Environmental and Energy risks.

Company URL:  https://www.berkleyse.com/

The company is an equal opportunity employer.


We are seeking a highly motivated Technical Innovation Intern to support the design, development, and implementation of automation and AI-driven solutions across our operations and technology teams. This role is ideal for a college senior or MBA candidate with a strong technical foundation and interest in applying emerging technologies (Python, AI, and Microsoft Power Platform) to real-world business challenges.

The intern will work on high-impact initiatives focused on workflow automation, data integration, and AI-enabled process improvements. Key functions will include but are not limited to:

Python Development

  • Build and maintain Python scripts for data processing, API integrations, and automation use cases
  • Support development of tools that streamline underwriting, operations, and reporting workflows

AI & Prompt Engineering

  • Design, test, and optimize AI prompts for business use cases (e.g., summarization, document processing, decision support)
  • Assist in evaluating AI tools (e.g., Copilot, LLM-based solutions) for operational efficiency gains

Power Platform Development

  • Develop solutions using Microsoft Power Platform, including Power Automate, Power Apps, and Power BI
  • Help identify opportunities to digitize manual processes and improve workflow efficiencyCollaborate on low-code solutions that integrate with enterprise systems

Process Automation & Integration

  • Partner with business and technology teams to map processes and identify automation opportunities
  • Assist with API-based integrations and data pipelines between internal and external systems
  • Document technical solutions and support testing and deployment

Collaboration & Communication

  • Work cross-functionally with underwriting, operations, IT, and data teams
  • Participate in agile-style working sessions, solution design discussions, and testing cycles
  • Present findings, demos, and recommendations to stakeholders

What You Will Gain

  • Hands-on experience building automation and AI solutions
  • Exposure to real-world insurance operations and underwriting workflows
  • Opportunity to contribute to enterprise innovation initiatives
  • Mentorship from technology and business leaders
  • Experience in a collaborative, cross-functional environment

Example Projects

  • Automating data collection or reporting workflows using Python and APIs
  • Building Power Automate flows to streamline processes
  • Developing AI prompt libraries for underwriting or operations
  • Creating apps or dashboards to improve team visibility

Work Environment

  • Hybrid or remote (depending on business needs)
  • Fast-paced, innovation-focused team

Education

  • Current undergraduate (junior/senior) or MBA student
  • Preferred majors: Computer Science, Data Science, Engineering, Information Systems, or related field

Technical Skills

  • Proficiency in Python (required)
  • Familiarity with APIs, data handling (JSON, CSV), and basic software development practices
  • Exposure to Microsoft Power Platform preferred
  • Interest in AI/ML concepts and prompt engineering

Additional Skills

  • Strong analytical and problem-solving capabilities
  • Ability to translate business problems into technical solutions
  • Excellent communication and documentation skills

Preferred Experience

  • Experience with process automation or workflow tools
  • Data analysis or visualization
  • AI tools (e.g., ChatGPT, Copilot)
  • Low-code/no-code platforms

We do not accept any unsolicited resumes from external recruiting agencies or firms.
Sponsorship not Offered for this Role