AI/ML Application Developer

Information Technology Strategies, Inc

. Design and deliver the AI/ML Functional and Technical Use Cases document for OCI-native AI service implementation in financial reporting automation, user experience optimization, and operational efficiency .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML development, particularly within Oracle Cloud Infrastructure, with a strong focus on natural language processing and integration of AI capabilities into enterprise software systems. Proven ability to lead Agile processes and deliver production-grade AI solutions while adhering to federal compliance standards.

Highest-signal resume keywords

AI/ML DevelopmentOracle Cloud InfrastructureNatural Language ProcessingREST API DesignAgile Development

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Hard Skills

JavaC/C++PythonData MiningKnowledge DiscoveryMachine LearningNLPEnd-to-End ML LifecycleUnstructured Data AnalyticsAI Model Deployment

Soft Skills

CollaborationProblem-SolvingCommunicationLeadershipAgile Team Participation

Tools & Technologies

OCI Data ScienceOCI LanguageOCI VisionAWS GovCloudCI/CD PipelinesDLA-Approved Platforms

Certifications & Qualifications

Agile OCI AI FoundationsOCI Data Science ProfessionalSAFe 5 CertificationSAFe 6 Certification

Industry Keywords

Federal ClearanceDoD AI Ethics PrinciplesOMB AI GovernanceDAIGFEBSLMPERP Financial SystemPerformance-Based Contract

Tech Stack

Tools & technologies

AWSCloudERPJavaOraclePythonC++

About the role

Key responsibilities & impact

Design and deliver the AI/ML Functional and Technical Use Cases document for OCI-native AI service implementation in financial reporting automation, user experience optimization, and operational efficiency
Develop the AI/ML and DevSecOps Transition Roadmap for embedding AI capabilities into DAI and transitioning Agile processes from contractor to government ownership
Implement production-grade AI/ML capabilities using OCI Data Science, OCI Language, and OCI Vision, with consideration for AWS GovCloud AI services
Build and integrate REST API connections between AI/ML models and Oracle EBS business processes
Apply NLP to financial document processing, including audit report analysis, accounting narrative classification, and automated ATM documentation generation
Design and apply cognitive science approaches to improve AI readiness and human decision-making support within the DAI user community
Lead R&D in training design, competency modeling, and cognitive metrics for AI adoption
Develop cognitive performance metrics for AI-assisted workflow adoption and program reporting
Apply knowledge discovery and data mining to unstructured DAI operational data to inform audit remediation and automation priorities
Participate in Program Increment planning, iteration planning, daily standups, and iteration reviews as an Agile Release Train member
Author user stories with acceptance criteria and collaborate with the Product Owner on backlog prioritization
Deliver working AI/ML capabilities within two-week iteration cycles
Identify and remove technical impediments, escalating architecture or infrastructure blockers to the Software Systems Engineer Lead
Align AI/ML architecture with broader DAI systems architecture and OCI infrastructure design
Contribute to the Final Transition Plan and Knowledge Transfer Materials
Support DevSecOps and DevOps Engineers with AI model deployment integration into CI/CD pipelines on DLA-approved platforms

Requirements

What you’ll need

Eligibility to obtain a U.S. Government SECRET / TOP SECRET Clearance
Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies
Five (5) years minimum experience in AI/ML development applied to enterprise software systems
Experience with Oracle Cloud Infrastructure AI and data science services, or equivalent major cloud provider AI platform experience with ability to transition to OCI
Experience with artificial intelligence, machine learning, natural language processing, knowledge discovery, and data mining applied to real operational datasets
Proficiency in Java, C/C++, or Python with production-level code in at least one of these languages
Experience in one or more of the following: natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, or ranking systems
REST API design and implementation for integrating ML models into enterprise application workflows
End-to-end ML lifecycle experience from data preparation through model training, evaluation, deployment, and monitoring in a production environment
Experience with unstructured data analytics and text-based information extraction from enterprise document repositories
Agile or SAFe development experience with demonstrated ability to deliver working software within time-boxed iterations
Preferred: Agile OCI AI Foundations or OCI Data Science Professional certification
Preferred: AWS GovCloud experience with SageMaker, Bedrock, or equivalent managed AI services
Preferred: Working knowledge of DoD AI Ethics Principles and OMB AI governance guidance
Preferred: NLP experience applied to financial or accounting documents
Preferred: Prior experience on DAI, GFEBS, LMP, or another DoD ERP financial system
Preferred: SAFe 5 or 6 certification at Practitioner level or above
Preferred: Experience producing federal government deliverables under a QASP performance-based contract structure

Benefits

Comp & perks

Four Medical/Vision options including an HSA plan
Dental and Orthodontia plan
Vision Materials plan
Paid Life, Short-Term Disability, and Long-Term Disability
401K Retirement Program with company contribution
Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave
Semi-monthly pay cycle