2 years ago
Remote, United StatesStaff+

Responsibilities

  • Design AI/ML pilots for predictive analytics, anomaly detection, behavioral analytics, content automation, personalization, and relevance scoring.
  • Build end-to-end machine learning pipelines covering preprocessing, feature engineering, training, validation, and deployment.
  • Develop prototypes using operational, log, and behavioral datasets for IT and cybersecurity anomaly detection.
  • Collaborate with system owners, cybersecurity analysts, dashboard developers, engineering staff, data scientists, and PMO leadership to operationalize AI/ML capabilities.
  • Evaluate AI technologies and support data exploration, hypothesis testing, experiment design, optimization, and trend analysis.
  • Produce model documentation, validation reports, integration specifications, and recommendations addressing explainability, bias mitigation, accuracy, and security compliance.

Requirements

  • Active Secret clearance or higher.
  • Bachelor's degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field.
  • At least 12 years of IT architecture experience, including at least five years designing AI solutions.
  • Experience with anomaly detection, predictive analytics, behavioral analytics, pattern recognition, AI/ML pilots or prototypes, machine learning pipelines, and experiment design.
  • Proficiency with TensorFlow, PyTorch, or Scikit-Learn and experience with Python, R, or similar programming languages.
  • Understanding of statistical modeling, anomaly detection, predictive forecasting, data pipelines, feature engineering, and data transformation.
  • ITIL v4 Foundation certification.
  • Preferred qualifications include cloud-based ML platform experience, knowledge of cybersecurity datasets and detection logic, familiarity with LLMs, vector embeddings, retrieval-augmented AI architectures, AI/ML certifications, and cloud practitioner or cloud security certifications.
  • Strong analytical, problem-solving, communication, documentation, model validation, and cross-functional collaboration skills.

Benefits

  • Fully remote work arrangement.
  • Opportunity to support federal and DoD-aligned mission modernization and enterprise AI governance initiatives.

Tech Stack

PythonPyTorchRscikit-learnTensorFlow

Categories

DecisionPoint Technologies, Inc.

About DecisionPoint Technologies, Inc.

201-500 employees

DecisionPoint Technologies, Inc. provides enterprise mobility and edge technology integration for large organizations, combining its IntelliTrack asset and inventory platform with managed services such as device lifecycle management, RFID, and help desk support. The company sells hardware, software, and implementation/support services to enterprises in supply chain, retail, and government. Headquartered in Baltimore, Maryland, it operates across the U.S. and Canada and is privately held.

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