ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsAssociate Artificial Intelligence Machine Learning Jobs

Associate Artificial Intelligence Machine Learning information

See salary details

$31.5K

$133.1K

$314.5K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for associate artificial intelligence machine learning in the United States is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

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

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

More about Associate Artificial Intelligence Machine Learning jobs

What cities are hiring for Associate Artificial Intelligence Machine Learning jobs?

Cities with the most Associate Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Associate Artificial Intelligence Machine Learning jobs?

States with the most job openings for Associate Artificial Intelligence Machine Learning jobs include:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs are:

Associate Artificial Intelligence Machine Learning jobs near you
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $133,062 per year, or $64 per hour.

Artificial Intelligence/Machine Learning SME

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 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.

Apply