Artificial Intelligence / Machine Learning Data EngineerClearanceJobs • United States

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Artificial Intelligence / Machine Learning Data Engineer

ClearanceJobs

United States

United States

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À propos

divh2Artificial Intelligence / Machine Learning Data Engineer/h2pMAG Aerospace is staffing for an Artificial Intelligence / Machine Learning Data Engineer. This position will lead the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations. Youll leverage COTS, FOSS/OSS, and custom development to build or integrate everything from edge computer vision to conversational AI assistants, while managing the data pipelines that feed these systems in the most challenging environments. While youll have a core expertise in either data engineering or model development, you have a passion for mastering the full stack of AI systems. This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested. We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in: Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC./ph3Essential Duties and Responsibilities/h3pDuties include, but not limited to:/ppstrongPrimary Responsibilities:/strong/pulliDevelop and optimize data-centric AI solutions such as computer vision pipelines for object detection, tracking, and classification/liliImplement advanced AI capabilities including RAG systems, agentic workflows, and fine-tuned LLMs/liliDesign and deploy edge-optimized models using TensorRT, ONNX, and quantization techniques/liliBuild data engineering pipelines for ETL, feature engineering, and model training/liliCreate analytics dashboards and business intelligence solutions for operational insights/liliImplement multi-modal sensor fusion algorithms (visual, thermal, acoustic, RF)/liliDesign and maintain data lakes, warehouses, and real-time streaming architectures/liliDevelop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.)/liliEstablish and enforce data quality standards, validation checks, and governance procedures throughout the data lifecycle/liliDevelop and implement robust testing and validation strategies for AI/ML models, including performance under degraded data conditions, adversarial testing, and operational scenarios/li/ulpstrongSecondary Responsibilities:/strong/pulliOptimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick)/liliImplement hardware acceleration using CUDA and TensorRT/liliProfile and optimize memory/power consumption for edge devices/liliSupport embedded systems team with AI-specific hardware integration/liliDesign distributed inference systems for degraded network conditions/li/ulh3Requirements/h3pstrongMinimum Requirements:/strong strongPrimary Experience / Qualifications:/strong/pulli5+ years experience in machine learning, AI, and data engineering/liliStrong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)/liliExperience with modern AI paradigms (transformers, diffusion models, neural ODEs)/liliHands-on experience with LLM deployment and optimization (vLLM, TGI, llama.cpp)/liliProficiency with data engineering tools (Apache Spark, Airflow, dbt, etc.)/liliExperience with both SQL and NoSQL databases at scale/liliKnowledge of vector databases and embedding systems (Pinecone, Weaviate, pgvector)/liliExperience with computer vision libraries (OpenCV, PIL) and video processing/liliUnderstanding of MLOps practices and model lifecycle management/li/ulpstrongPreferred Qualifications:/strong/pulliExperience with military/defense AI applications/liliKnowledge of agentic AI frameworks (LangChain, AutoGPT, CrewAI)/liliFamiliarity with federated learning and edge-cloud hybrid architectures/liliExperience with business intelligence tools (Tableau, PowerBI, Grafana)/liliKnowledge of time-series analysis and anomaly detection/liliExperience with knowledge graphs and semantic reasoning/liliUnderstanding of explainable AI and model interpretability/liliExperience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Weights Biases)/liliPublished research or patents in relevant areas/li/ulpstrongEducation Experience:/strong/pulliBachelors degree in CS, EE, or related field;/liliMasters preferred/li/ulpstrongClearance:/strong/pulliMust be eligible for Secret security clearance/li/ulpstrongOther Qualifications:/strong/pulliMust be a US citizen/li/ulh3What Makes You Successful Here/h3ulliYou can build anything from a computer vision pipeline to a conversational AI assistant/liliYou treat data engineering as seriously as model development/liliYou understand the tradeoffs between cloud-scale and edge deployment/liliYou can explain complex AI concepts to operators and executives alike/liliYou see AI as a tool for augmenting human decision-making, not replacing it/li/ulh3Why Join MAG/h3ulliWork on meaningful problems that directly impact national security/liliSmall, elite team where your contributions matter immediately/liliAccess to cutting-edge hardware and technologies/liliRapid prototyping environment - see your ideas deployed in weeks/liliDirect interaction with end users and field deployments/liliProfessional development and conference attendance support/liliFlexible work arrangements with occasional field exercises/liliOpportunity to shape the future of tactical edge computing/li/ulpMAG Aerospace (MAG) is an Equal Opportunity/Affirmative Action Employer and is committed to Diversity and Inclusion. We encourage diverse candidates to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you need assistance due to a disability, please contact the MAG Aerospace Recruiting email: Applicant.Assist@magaero.com or call (703) 376-8993./p/div

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