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Per Diem Artificial Intelligence Machine Learning Jobs in Georgia

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Per Diem Artificial Intelligence Machine Learning information

What jobs can I get with artificial intelligence and machine learning?

With expertise in artificial intelligence and machine learning, you can pursue roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch.

What does a per diem artificial intelligence machine learning professional do?

A Per Diem Artificial Intelligence Machine Learning professional works on a temporary or as-needed basis to develop, implement, and optimize AI and machine learning models. Their responsibilities may include data analysis, model training, algorithm development, and collaborating with teams to solve specific problems using AI solutions. This role provides flexibility for both the employer and the professional, often focusing on short-term projects or filling gaps in expertise. Per diem positions are common in organizations needing specialized skills for particular tasks without committing to a full-time hire.

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

AspectPer Diem Artificial Intelligence Machine LearningPer Diem Data Scientist
CredentialsTypically requires a degree in AI, ML, or related fields; certifications like TensorFlow or AWSRequires a degree in data science, statistics, or related fields; certifications like SAS, Python, or R
Work EnvironmentOften in tech companies, research labs, or healthcare; project-based, flexible hoursIn corporate, finance, or healthcare sectors; data analysis-focused, project-based
Industry UsageUsed in AI development, automation, and advanced analyticsUsed in data analysis, reporting, and predictive modeling

Per Diem Artificial Intelligence Machine Learning roles focus on developing AI and ML models, often requiring specialized technical skills. Per Diem Data Scientist positions emphasize analyzing data to inform business decisions. While both roles involve data and analytics, AI/ML roles are more technical and development-oriented, whereas Data Scientist roles focus on data interpretation and reporting.

How does the flexible, per diem schedule impact project involvement and collaboration for artificial intelligence machine learning professionals?

Per diem AI/ML roles typically offer flexibility, allowing professionals to work on specific projects or tasks as needed. This structure means you may often collaborate remotely with cross-functional teams, contributing your expertise to targeted components rather than full project lifecycles. While this provides excellent work-life balance and exposure to diverse challenges, it also requires strong communication skills to stay aligned with rapidly evolving team goals. Additionally, per diem positions can serve as valuable opportunities for networking and building a varied portfolio, potentially leading to more permanent or advanced roles.

What are the key skills and qualifications needed to thrive as a per diem artificial intelligence machine learning professional?

To thrive as a Per Diem Artificial Intelligence Machine Learning Specialist, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a degree in a related field. Proficiency in programming languages like Python or R, familiarity with ML frameworks such as TensorFlow or PyTorch, and experience using cloud platforms are typically required. Strong problem-solving abilities, adaptability, and effective communication skills set top performers apart in this flexible role. These competencies enable specialists to swiftly deliver impactful AI solutions and collaborate well on diverse, project-based teams.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Georgia? The most popular types of Artificial Intelligence Machine Learning jobs in Georgia are:
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Per Diem Artificial Intelligence Machine Learning jobs near you

Artificial Intelligence/Machine Learning SME

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in AI/ML Engineering to support the Test Resource Management Center's operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta, Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War.
In this role, you will work alongside other SME's, students, interns, engineers, AI and DE experts from academia and other industry teammates to translate operational and strategic requirements into educational opportunities as well as scalable, production-ready solutions. You will contribute directly to product planning, execution, intern mentoring and continuous improvement-helping ensure qualified individuals are delivered efficiently to the Department of War and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, mentorship program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, have strong interpersonal skills and the willingness to mentor interns, must be comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities and training individuals with real-world national security outcomes.
Responsibilities will include, but may not be limited to:
  • Serving as the primary Subject Matter Expert on AI/ML Engineering for the AIDETL Interns and staff, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the AIDETL's mission objectives
  • Providing expert-level training, workshops, and briefings to AIDETL Interns on AI/ML concepts and AI/ML best practices
  • Assisting in AIDETL curriculum development
  • Building and maintaining data pipelines for efficient data processing and model training
  • Training and tuning algorithms to improve predictive accuracy and decision-support tasks
  • Deploying models into production environments, ensuring reliability and performance
  • Identifying and integrating appropriate COTS, government, and custom tools within established frameworks
  • Collaborating with cross-functional teams to ensure alignment with enterprise architecture and security requirements
  • Staying updated on industry trends and advancements in AI/ML technologies
  • Developing and implementing best practices for model development and deployment
  • Ensuring compliance with cybersecurity policies and standards throughout the project lifecycle
  • Analyzing system performance metrics and recommend improvements for efficiency and scalability

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-HK1
Requirements
  • Secret clearance
  • Bachelor's degree in computer science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience.
  • 5 + years designing, building, and operating end-to-end AI/ML infrastructure (data ingestion, feature pipelines, model training, and serving) in production environments.
  • Expert-level proficiency with at least two of the following: TensorFlow, PyTorch, JAX, or Scikit-Learn, including design of deep-learning architectures (CNN, RNN, Transformer) and model-explainability methods (SHAP, LIME, Counterfactuals).
  • Proven ability to build end-to-end MLOps pipelines (CI/CD, automated testing, model versioning, monitoring) using Kubeflow, MLflow, TFX, or similar tools, and to deploy models in production and development environments.
  • Experience instrumenting pipelines with Prometheus, Grafana, CloudWatch/Stackdriver, Open Telemetry; implementing automated model-drift detection, data-quality checks, and compliance/audit trails.
  • Ability to translate complex business problems (e.g., computer vision, NLP, predictive maintenance, anomaly detection) into robust ML solutions and evaluate them against domain-specific KPIs (accuracy, latency, cost, safety).
  • Strong programming skills in languages such as Python, R, or Java.
  • Strong problem-solving abilities and analytical thinking.
  • Strong communication and interpersonal skills.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
  • Experience mentoring junior engineers, leading cross-functional AI projects, and clearly communicating technical concepts to both technical and non-technical audiences (executives, product owners, compliance teams).
  • Excellent documentation and presentation skills are required Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes).
  • Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving AIDETL curriculum needs and mission priorities.

Desired Skills
  • 12+ years of experience in AI/ML and/or data engineering or related fields.
  • Experience leading and managing Agile SCRUM teams. (Strong familiarity with Agile Scrum processes and methodologies)
  • Experience supporting AI/ML solutions across multi-enclave DoD environments.
  • Experience implementing automated model validation, bias detection, and drift monitoring frameworks.
  • Experience integrating AI services into enterprise APIs and microservices architectures.
  • Experience optimizing GPU-based training and inference pipelines.
  • Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives.
  • Publications, patents, or open-source contributions that demonstrate thought-leadership in emerging AI areas such as foundation models, reinforcement learning, federated learning, or privacy-preserving ML.
  • Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems.
  • Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI.
  • Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.
  • Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen.

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL
Travel Requirements
  • 10% travel primarily to Academic institutions, but also to cyber and physical ranges or industry events

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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