2 years ago
Remote, United StatesSenior

Responsibilities

  • Develop rapid prototypes, microservices, APIs, widgets, and integrations for AI/ML concepts.
  • Integrate ML models into dashboards, applications, and operational workflows.
  • Build lightweight user-interface components, API wrappers, routing logic, and connector services.
  • Optimize ML pipelines for performance, scalability, and efficient inference.
  • Support data ingestion, feature engineering, preprocessing, validation, testing, and error handling.
  • Collaborate with data scientists, AI/ML architects, developers, dashboard teams, cybersecurity teams, and PMO leadership to operationalize models.
  • Document models, prototypes, integrations, and deployment patterns and recommend improvements based on usability testing and technical feedback.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field.
  • Minimum five years of experience in software development, AI/ML engineering, or data-driven application development.
  • Experience building API-driven prototypes, integrations, or microservices and integrating ML models into dashboards, applications, or mission workflows.
  • Experience transitioning models to production with data scientists or ML engineers.
  • Proficiency with Python, JavaScript, or similar development languages.
  • Familiarity with TensorFlow, PyTorch, and Scikit-Learn; REST APIs, web services, or integration layers; and data pipelines and ML lifecycle workflows.
  • Required ITIL v4 Foundation certification.
  • Tier 2 Moderate Risk Public Trust clearance from any federal agency or active Secret clearance or higher.
  • Preferred experience with AWS cloud services or ML platforms, front-end frameworks, CI/CD pipelines, and DevSecOps tooling.
  • Preferred AI/ML engineering, cloud, Scrum Master, or Agile certifications.

Benefits

  • Fully remote work arrangement.

Tech Stack

AWSJavaScriptPythonPyTorchscikit-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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