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Freelance Artificial Intelligence Machine Learning Jobs in Virginia

MORSE Corp

Lead Data Scientist (TS/SCI)

Arlington, VA · On-site

... Artificial Intelligence, or Machine Learning • Expertise in artificial intelligence, machine learning, and data science • Experience in algorithm development and testing • Excellent ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

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

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Freelance Artificial Intelligence Machine Learning information

How do freelance AI/ML professionals typically manage client expectations and project scope?

Freelance AI/ML professionals often work with clients who may not fully understand the technical possibilities or limitations of machine learning solutions. A key challenge is clearly communicating what can be achieved within a given timeframe and budget, and then setting realistic milestones. This often involves regular check-ins, well-documented progress updates, and educating clients about the iterative nature of AI/ML development. Building trust and transparency is essential, as is being flexible to adapt project goals based on data availability or evolving client needs.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence machine learning specialist?

To thrive as a Freelance Artificial Intelligence/Machine Learning Specialist, you need a strong background in mathematics, statistics, programming (Python or R), and a solid understanding of machine learning algorithms, usually backed by a relevant degree or certifications. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Google Cloud is typically required. Strong problem-solving abilities, self-motivation, and effective client communication are crucial soft skills for success in freelance work. These skills ensure you can deliver high-quality, innovative solutions independently and maintain strong client relationships in a rapidly evolving field.

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

AspectFreelance Artificial Intelligence Machine LearningData Scientist
CredentialsTypically requires knowledge of AI/ML, programming, and relevant certificationsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed full-time in organizations, but also freelance options exist
Industry UsageUsed across tech, finance, healthcare, and startups for AI/ML projectsCommon in tech, finance, healthcare, and research sectors for data analysis

Freelance Artificial Intelligence Machine Learning professionals focus on developing AI/ML models independently, often on specific projects, while Data Scientists analyze data to extract insights, typically within organizations. Both roles require strong technical skills, but their work environments and project scopes differ.

What is a freelance artificial intelligence machine learning professional?

Freelance Artificial Intelligence (AI) Machine Learning (ML) professionals are independent experts who develop, implement, and optimize AI and ML models for various clients and projects. They often work remotely or on a contract basis, assisting organizations with tasks such as data analysis, algorithm development, model training, and deployment. Freelance AI/ML specialists typically possess skills in programming languages like Python or R, and are familiar with frameworks such as TensorFlow or PyTorch. Their work ranges from building predictive models and automating processes to consulting on AI strategy and integrating machine learning into business solutions.
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Freelance Artificial Intelligence Machine Learning jobs near you

Artificial Intelligence Integrator (N)

SimIS Inc.

Norfolk, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

ONSITE
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. 
Job Description:
NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to for the capture, development, architecture, data science and quality assurance of capability requirements and operational analysis necessary to adapt to future threats and explore long-term military strategy to shape how NATO's forces will operate in the future. To support our NATO customer, SimIS seeks an Artificial Intelligence Integrator to facilitate collaboration, provide subject matter expertise, and ensure seamless integration of AI technologies to enhance Alliance capabilities.
Qualifications and Experience 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.
Specific Requirements:
  • 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.
Benefits:
  • Medical, Dental, and Vision
  • Short-Term Disability (at no cost to you) & Long-Term Disability
  • Life Insurance
  • 401(k) Savings Plan
  • Flex Spending Accounts
  • Tuition Assistance Program
  • Professional Development
  • Paid Time Off (PTO)
  • 11 Federal Holidays each year
 
SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

 

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