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Associate Artificial Intelligence Machine Learning Jobs in Oregon

Research and evaluate emerging technologies - including automation tools and artificial intelligence/machine learning frameworks - to recommend and prototype enhancements that improve budget ...

Research and evaluate emerging technologies - including automation tools and artificial intelligence/machine learning frameworks - to recommend and prototype enhancements that improve budget ...

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 ...

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 ...

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 ...

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 ...

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Statistics, Mathematics, Computational Linguistics, or a related quantitative field.

Artificial Intelligence (AI) Tutor

OR · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery ... Deep knowledge of machine learning algorithms, neural networks, natural language processing ...

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... Advanced knowledge of AI, machine learning, deep learning, and data science concepts (Master's or ...

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Associate Artificial Intelligence Machine Learning information

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 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.

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 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 are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Oregon? The most popular types of Artificial Intelligence Machine Learning jobs in Oregon are:
What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Oregon? For Associate Artificial Intelligence Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Associate Artificial Intelligence Machine Learning jobs? Cities in Oregon with the most Associate Artificial Intelligence Machine Learning job openings:

Budget Application, Automation, and Artificial Intelligence Support Specialist

Artemis Arc

Other

Re-posted yesterday


Job description

Requisition ID2026-4477Job Summary

We are seeking a skilled Budget Application, Automation, and Artificial Intelligence Support Specialist to provide programmatic support to the Veterans Health Administration (VHA) Specialty Care Program Office under the IHT 2.0 contract vehicle. In this role, you will design, develop, and maintain web-based and client-server applications that streamline budget operations and introduce automation and AI-driven efficiencies across VHA specialty care programs with an opportunity to work closely with users to define requirements, develop specifications, and apply your programming and analysis skills to support the development and maintenance of data/process models and related work plans/projects. Your vital work will directly support the Department of Veterans Affairs' mission to deliver high-quality, data-informed healthcare services to our nation's Veterans. The ideal candidate is a detail-oriented, solutions-driven, and VA-experienced application developer who thrives in a collaborative federal healthcare environment, can translate complex user requirements into reliable software, and is comfortable working across multiple concurrent project workstreams with minimal supervision.

Primary Responsibilities

Design, develop, and modify web-based applications, client-server applications, and OS scripts to automate budget and programmatic workflows within the VHA Specialty Care Program Office.Perform application development and database programming using Relational Database Management Systems (RDBMS) and SQL, ensuring data integrity, performance, and alignment with VA enterprise architecture standards.Implement and integrate Commercial Off-the-Shelf (COTS) software solutions into existing VA system architectures, coordinating with stakeholders to ensure seamless adoption and minimal operational disruption.Lead and support the full software development lifecycle - including planning, requirements analysis, specification writing, coding, testing, debugging, and production implementation - in accordance with an approved Systems Development Methodology (SDM).Document test conditions, develop test data sets, execute program testing, and analyze results to identify defects and validate that solutions meet functional and technical requirements; support users during acceptance testing phases.Research and evaluate emerging technologies - including automation tools and artificial intelligence/machine learning frameworks - to recommend and prototype enhancements that improve budget application performance, reporting capabilities, and process efficiency across VHA program operations.

Minimum Qualifications

Minimum of 8 years of hands-on experience in application development and programming, including web-based applications, client-server solutions, and scripted process automation. Bachelor's Degree (BA/BS) in Computer Science, Information Technology, Software Engineering, or a closely related technical field is required. Prior experience supporting federal agency IT programs - preferably within the Department of Veterans Affairs (VA), VHA, or a comparable federal healthcare or civilian agency environment - is strongly desired. Ability to obtain and maintain a VA Position of Public Trust (suitability clearance); candidate must be eligible for VA network access and comply with all VA security and privacy requirements including annual security awareness training. Must be authorized to work in the United States without sponsorship; this position supports a federal government contract and may be subject to additional background investigation requirements. Demonstrated proficiency in applying a formal Systems Development Methodology (SDM), writing program specifications, and maintaining technical and process documentation consistent with federal IT project standards.

Desired Qualifications

Experience developing or supporting budget management applications, financial systems, or programmatic reporting tools within a federal or VA healthcare environment.

Familiarity with VA-specific platforms, tools, or frameworks such as the VA Enterprise Cloud (VAEC), Power Platform (Power Automate/Power BI), or VA's CDW/SQL Server environment.

Exposure to artificial intelligence, machine learning, or robotic process automation (RPA) technologies and their application to healthcare operations or federal program management.

Knowledge of VA/VHA data governance standards, 508 compliance requirements, and federal information security frameworks such as FISMA and NIST SP 800-53.

Experience assisting in the development of data models, process models, and project work plans within an Agile or hybrid Agile-Waterfall delivery environment.

Employment Type: OTHER