Home › Companies › 6de015f7 F49c 4b23 B03d 3e5a1841416f 9200087223389 2 › Senior AI/ML Engineer - Point Mugu, CA
Senior AI/ML Engineer - Point Mugu, CA
6de015f7 F49c 4b23 B03d 3e5a1841416f 9200087223389 2 · Point Mugu, Point Mugu, CA, US, Point Mugu, CA · Active · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | 6de015f7 F49c 4b23 B03d 3e5a1841416f 9200087223389 2 |
| Title | Senior AI/ML Engineer - Point Mugu, CA |
| Normalized title | - |
| Department / team | - |
| Location | Point Mugu, CA, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2026-05-27 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
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| ATS provider jobs | Active postings observed through ADP Workforce Now Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Point Mugu. | Open |
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| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | 6de015f7 F49c 4b23 B03d 3e5a1841416f 9200087223389 2 |
| Source | aedd35f1-9bd7-4e1f-bfd9-92f4a8d95bb7 |
| ATS provider | ADP Workforce Now Recruiting |
Description
Job Summary F3EA is seeking a Senior AI/ML Engineer to support the Blue Water Instrumentation (BWI) RDT&E Tranche 1 Development and Knowledge Management team at the Point Mugu Sea Range. This role is responsible for designing, developing, and deploying AI/ML models, automated data pipelines, and intelligent process automation solutions within CMMC-compliant MS365 GCC High, Azure Government (AzureGov), and DoD enclave environments (NMCI/FlankSpeed).
The Senior AI/ML Engineer will architect and implement AI-Driven Instrumentation (AIDI) capabilities including automated data collection planning, processing, analysis, and decision-aid tools supporting RDT&E events. Beyond instrumentation, this role will develop AI-enabled solutions for business and staffing processes, including intelligent document processing, workforce analytics, predictive staffing models, and natural language interfaces leveraging Azure OpenAI Service, Copilot Studio, and Power Platform AI Builder within GCC High boundaries.
This position requires deep expertise in building production ML systems within FedRAMP High / IL4-IL6 environments, understanding the unique constraints of GCC High tenant boundaries, and ensuring all AI/ML workloads comply with DoD AI ethics principles and applicable cybersecurity requirements.
Roles and Responsibilities Design, develop, train, and deploy AI/ML models for AIDI capabilities including telemetry data analysis, automated collection planning, anomaly detection, predictive maintenance for prototype systems, and decision-aid tools supporting RDT&E events Architect and implement end-to-end ML pipelines in Azure Government (AzureGov) using Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service within IL4/IL5/IL6 boundaries as appropriate Develop AI-enabled business process automation solutions within MS365 GCC High using Copilot Studio, Power Platform AI Builder, Power Automate, and SharePoint Premium (Syntex) for intelligent document processing, metadata extraction, and content classification Build and maintain data ingest/ETL pipelines supporting AIDI R&D objectives, including telemetry capture/replay tools, labeling workflows, data governance, and role-based access controls for experiment data (CDRL A013) Develop predictive workforce analytics, staffing optimization models, and intelligent scheduling tools to support program staffing and business processes Implement Retrieval-Augmented Generation (RAG) architectures and knowledge base solutions using Azure AI Search and Azure OpenAI within GCC High for program knowledge management and operational decision support Design and deliver dashboards, Common Operational Picture (COP) views, and data visualization artifacts as R&D deliverables for evaluation by Government stakeholders Ensure all AI/ML workloads comply with DoD AI Ethics Principles (Responsible AI), NIST AI Risk Management Framework, and applicable cybersecurity controls for the R&D test environment Implement model versioning, experiment tracking, and reproducibility infrastructure (MLflow, Azure ML Experiments) to support RDT&E repeatability and transition decision-making Collaborate with cybersecurity personnel to ensure AI/ML infrastructure meets RMF, STIG, and continuous monitoring requirements scaled to developmental use Support data and model traceability documentation sufficient for RDT&E repeatability, Government technical reviews, and transition decisions Author and contribute to technical documentation including model cards, algorithm descriptions, data dictionaries, and performance characterizations (CDRL A006) Stay current on emerging AI/ML techniques, DoD AI initiatives (CDAO, Task Force Lima guidance), and GCC High service availability for AI workloads
Supervisory Responsibilities None. May provide technical leadership and mentorship to junior data engineers and analysts.
Required Qualifications and Education Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or related field (Master’s preferred) 8+ years of experience in AI/ML engineering, data science, or applied machine learning, with at least 3 years in DoD or Federal environments Demonstrated experience building and deploying ML models in Azure Government or equivalent FedRAMP High cloud environments Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers) Experience with Azure Machine Learning, Azure Cognitive Services, and/or Azure OpenAI Service Hands-on experience with data pipeline engineering (Apache Spark, Azure Data Factory, Databricks, or equivalent) Working knowledge of MS365 GCC High capabilities and constraints, including Power Platform AI Builder, Copilot Studio, and SharePoint Premium Understanding of DoD Cloud SRG impact levels (IL4/IL5/IL6) and their implications for AI/ML workloads Experience with containerized model deployment (Docker, Kubernetes, Azure Container Instances) Familiarity with CMMC 2.0, NIST SP 800-53, and cybersecurity compliance requirements for development environments Strong understanding of data governance, PII/CUI handling, and role-based access control in classified or controlled environments Excellent analytical, problem-solving, and technical communication skills U.S. citizenship required Active DoD Secret clearance required; TS/SCI eligibility preferred
Required Certifications: One or more of the following (or equivalent demonstrated expertise): Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) AWS Machine Learning Specialty or equivalent cloud ML certification CompTIA Security+ CE (or higher, to satisfy DoD 8140 baseline if applicable)
Preferred Qualifications and Education Experience with Azure OpenAI Service in GCC High / Government tenants Familiarity with CDAO (Chief Digital and AI Office) guidance, DoD AI Ethics Principles, and Responsible AI frameworks Experience with NIST AI Risk Management Framework (AI RMF) Experience building RAG architectures with Azure AI Search in Government environments Familiarity with IRIG-106 telemetry data formats and T&E range data standards Experience with real-time or streaming ML inference for sensor/telemetry data Knowledge of NMCI and FlankSpeed environments and their development constraints Experience with MLOps practices: MLflow, model registries, automated retraining pipelines Familiarity with Power Platform governance and DLP policies in GCC High Experience supporting FMS (Foreign Military Sales) program data handling requirements Additional certifications: Azure Solutions Architect Expert, Databricks Certified, TensorFlow Developer Certificate
Physical Demands/Work Environment Combination of office and laboratory Direct, hands-on support to users and operational systems May require support during test events or extended operational hours
Affirmative Action/EEO statement
F3EA, Inc. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. F3EA, Inc. makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Other duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Full job record
| Job ID | c36082c6ed9c3b94011787d6efc9cd8612e774ac |
| Org ID | b820f72e-6ff8-4c2a-949e-5274c40cd60f |
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| Board ID | aedd35f1-9bd7-4e1f-bfd9-92f4a8d95bb7 |
| Provider | adp_workforcenow |
| Provider Job Key | 582707 |
| Title | Senior AI/ML Engineer - Point Mugu, CA |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Point Mugu, Point Mugu, CA, US, Point Mugu, CA |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Point Mugu |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=6de015f7-f49c-4b23-b03d-3e5a1841416f&ccId=9200087223389_2&lang=en_US&type=JS&jobId=582707&jwId=9201037588111_1 |
| Apply URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=6de015f7-f49c-4b23-b03d-3e5a1841416f&ccId=9200087223389_2&lang=en_US&type=JS&jobId=582707&jwId=9201037588111_1 |
| First Seen At | 2026-05-31 18:50:35Z |
| Last Seen At | 2026-06-06 11:57:54Z |
| Last Checked At | 2026-06-06 11:57:54Z |
| Last Changed At | 2026-06-06 11:57:54Z |
| Inactive At | — |
| Source Posted At | 2026-05-27 19:09:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=6de015f7-f49c-4b23-b03d-3e5a1841416f|9200087223389_2/date=2026-06-06/2026-06-06T11-57-53-895Z-c77a72cecef2c342199f75219900137c8b4f80b02e372faa905d2e0f0cfe80ba.json |
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"requisitionDescription": "<div><div><div><div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;' data-pasted=\"true\"><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Job Summary</span></h1><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">F3EA is seeking a Senior AI/ML Engineer to support the Blue Water Instrumentation (BWI) RDT&E Tranche 1 Development and Knowledge Management team at the Point Mugu Sea Range. This role is responsible for designing, developing, and deploying AI/ML models, automated data pipelines, and intelligent process automation solutions within CMMC-compliant MS365 GCC High, Azure Government (AzureGov), and DoD enclave environments (NMCI/FlankSpeed).</span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">The Senior AI/ML Engineer will architect and implement AI-Driven Instrumentation (AIDI) capabilities including automated data collection planning, processing, analysis, and decision-aid tools supporting RDT&E events. Beyond instrumentation, this role will develop AI-enabled solutions for business and staffing processes, including intelligent document processing, workforce analytics, predictive staffing models, and natural language interfaces leveraging Azure OpenAI Service, Copilot Studio, and Power Platform AI Builder within GCC High boundaries.</span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">This position requires deep expertise in building production ML systems within FedRAMP High / IL4-IL6 environments, understanding the unique constraints of GCC High tenant boundaries, and ensuring all AI/ML workloads comply with DoD AI ethics principles and applicable cybersecurity requirements.</span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Roles and Responsibilities</span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Design, develop, train, and deploy AI/ML models for AIDI capabilities including telemetry data analysis, automated collection planning, anomaly detection, predictive maintenance for prototype systems, and decision-aid tools supporting RDT&E events</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Architect and implement end-to-end ML pipelines in Azure Government (AzureGov) using Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service within IL4/IL5/IL6 boundaries as appropriate</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Develop AI-enabled business process automation solutions within MS365 GCC High using Copilot Studio, Power Platform AI Builder, Power Automate, and SharePoint Premium (Syntex) for intelligent document processing, metadata extraction, and content classification</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Build and maintain data ingest/ETL pipelines supporting AIDI R&D objectives, including telemetry capture/replay tools, labeling workflows, data governance, and role-based access controls for experiment data (CDRL A013)</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Develop predictive workforce analytics, staffing optimization models, and intelligent scheduling tools to support program staffing and business processes</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Implement Retrieval-Augmented Generation (RAG) architectures and knowledge base solutions using Azure AI Search and Azure OpenAI within GCC High for program knowledge management and operational decision support</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Design and deliver dashboards, Common Operational Picture (COP) views, and data visualization artifacts as R&D deliverables for evaluation by Government stakeholders</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Ensure all AI/ML workloads comply with DoD AI Ethics Principles (Responsible AI), NIST AI Risk Management Framework, and applicable cybersecurity controls for the R&D test environment</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Implement model versioning, experiment tracking, and reproducibility infrastructure (MLflow, Azure ML Experiments) to support RDT&E repeatability and transition decision-making</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Collaborate with cybersecurity personnel to ensure AI/ML infrastructure meets RMF, STIG, and continuous monitoring requirements scaled to developmental use</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Support data and model traceability documentation sufficient for RDT&E repeatability, Government technical reviews, and transition decisions</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Author and contribute to technical documentation including model cards, algorithm descriptions, data dictionaries, and performance characterizations (CDRL A006)</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Stay current on emerging AI/ML techniques, DoD AI initiatives (CDAO, Task Force Lima guidance), and GCC High service availability for AI workloads</span></li></ul><p><span style=\"line-height: 115%; font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p></div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Supervisory Responsibilities </span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 18px; font-family: tahoma, sans-serif;\" data-pasted=\"true\"><span style=\"line-height: 115%;\">None. May provide technical leadership and mentorship to junior data engineers and analysts.</span></li></ul></div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></h1><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Required Qualifications and Education</span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or related field (Master’s preferred)</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">8+ years of experience in AI/ML engineering, data science, or applied machine learning, with at least 3 years in DoD or Federal environments</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Demonstrated experience building and deploying ML models in Azure Government or equivalent FedRAMP High cloud environments</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers)</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Experience with Azure Machine Learning, Azure Cognitive Services, and/or Azure OpenAI Service</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Hands-on experience with data pipeline engineering (Apache Spark, Azure Data Factory, Databricks, or equivalent)</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Working knowledge of MS365 GCC High capabilities and constraints, including Power Platform AI Builder, Copilot Studio, and SharePoint Premium</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Understanding of DoD Cloud SRG impact levels (IL4/IL5/IL6) and their implications for AI/ML workloads</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Experience with containerized model deployment (Docker, Kubernetes, Azure Container Instances)</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Familiarity with CMMC 2.0, NIST SP 800-53, and cybersecurity compliance requirements for development environments</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Strong understanding of data governance, PII/CUI handling, and role-based access control in classified or controlled environments</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Excellent analytical, problem-solving, and technical communication skills</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">U.S. citizenship required</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Active DoD Secret clearance required; TS/SCI eligibility preferred</li></ul></div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></h1><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Required Certifications: </span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">One or more of the following (or equivalent demonstrated expertise):<ul style=\"margin-bottom: 0in; list-style-type: circle; font-family: initial; font-size: initial;\"><li style=\"margin-top: 1.5pt; margin-right: 0in; margin-bottom: 1.5pt; font-size: 18px; font-family: tahoma, sans-serif;\">Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100)</li><li style=\"margin-top: 1.5pt; margin-right: 0in; margin-bottom: 1.5pt; font-size: 18px; font-family: tahoma, sans-serif;\">AWS Machine Learning Specialty or equivalent cloud ML certification</li><li style=\"margin-top: 1.5pt; margin-right: 0in; margin-bottom: 1.5pt; font-size: 18px; font-family: tahoma, sans-serif;\">CompTIA Security+ CE (or higher, to satisfy DoD 8140 baseline if applicable)</li></ul></li></ul><p><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p></div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Preferred Qualifications and Education</span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: 0in;\"><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience with Azure OpenAI Service in GCC High / Government tenants</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Familiarity with CDAO (Chief Digital and AI Office) guidance, DoD AI Ethics Principles, and Responsible AI frameworks</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience with NIST AI Risk Management Framework (AI RMF)</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience building RAG architectures with Azure AI Search in Government environments</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Familiarity with IRIG-106 telemetry data formats and T&E range data standards</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience with real-time or streaming ML inference for sensor/telemetry data</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Knowledge of NMCI and FlankSpeed environments and their development constraints</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience with MLOps practices: MLflow, model registries, automated retraining pipelines</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Familiarity with Power Platform governance and DLP policies in GCC High</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Experience supporting FMS (Foreign Military Sales) program data handling requirements</span></li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\"><span style=\"line-height: 115%;\">Additional certifications: Azure Solutions Architect Expert, Databricks Certified, TensorFlow Developer Certificate</span></li></ul><p><span style=\"line-height: 115%; font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p></div><h1 style='margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in;font-size:15px;font-family:\"Calibri Light\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Physical Demands/Work Environment</span></h1><div style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Combination of office and laboratory</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">Direct, hands-on support to users and operational systems</li><li style=\"margin: 1.5pt 0in; font-size: 18px; font-family: tahoma, sans-serif;\">May require support during test events or extended operational hours</li></ul></div><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><strong> </strong></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><strong>Affirmative Action/EEO statement</strong></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">F3EA, Inc. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.</span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. F3EA, Inc. makes hiring decisions based solely on qualifications, merit, and business needs at the time.</span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><br></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:1.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-family: tahoma, sans-serif; font-size: 18px;\"><strong>Other duties</strong></span></p><p style='margin-top:1.5pt;margin-right:0in;margin-bottom:7.5pt;margin-left:0in;font-size:13px;font-family:\"Calibri\",sans-serif;'><span style=\"font-size: 18px; font-family: tahoma, sans-serif;\">Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</span></p></div></div></div></div>\n",
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