1

Weekend Artificial Intelligence Machine Learning Jobs in Virginia

... artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration • Working with cyber data ...

... artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms Ability to develop persistent monitoring applications for statistical or machine ...

Expertise in artificial intelligence, machine learning, and data science * Experience in algorithm development and testing * Excellent communication and presentation skills * Self-starter and driven

ORA_ON_SITE Description  SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government ...

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

The engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms.

next page

Showing results 1-20

Weekend Artificial Intelligence Machine Learning information

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Virginia? The most popular types of Artificial Intelligence Machine Learning jobs in Virginia are:
What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Virginia look for? The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Virginia with the most Weekend Artificial Intelligence Machine Learning job openings:
Artificial Intelligence Integrator (N)

Artificial Intelligence Integrator (N)

SimIS Inc.

Norfolk, VA • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
SimIS Inc. is an innovative information technology solution Veteran Owned Small Business that focuses on securing enterprises from threats and ensuring client mission success. They are seeking an Artificial Intelligence Integrator to facilitate collaboration and integration of AI technologies to enhance NATO's capabilities in military strategy and operational analysis.
Responsibilities:
• Contribute to the integration of artificial intelligence in NATO’s warfare development efforts and capability development
• Collaborate with wargaming experts to identify key areas where AI can enhance wargaming design, scenario development, analysis, adjudication, and support to human teams
• Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving, for example, strategic depth, and enhanced execution of wargames
• Develop real-time analytics and visualizations to support decision-making during wargaming simulations, for example, using Power BI
• Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems
• Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios
• Document and present findings from AI integration experiments to stakeholders, proposing continuous improvements
Qualifications:
Required:
• BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science
• Minimum of 5 years’ experience in data science, machine learning, or AI engineering in a professional work environment.
• Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts
• Minimum of 3 years’ experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI
• Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc
• Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4
Company:
SimIS is an IT company specializing in cybersecurity services. Founded in 2007, the company is headquartered in Suffolk, USA, with a team of 51-200 employees. The company is currently Growth Stage.