Altamira Technologies
Altamira Technologies

74 Altamira Technologies Lead Project Manager Jobs Hiring Near You

$140 - $190/hr

Altamira Technologies has a long and successful history providing innovative solutions throughout ... Collaborate with project managers to translate complex client requirements into actionable AI/ML ...

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Lead Project Manager

Washington, DC · On-site

$120 - $150/hr

Lead Project Manager AGENCY SUPPORTED: U.S. Department of Justice (DOJ) - MEGA 6 Automated ... We leverage the latest technology innovations and proven approaches to better serve the mission and ...

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Interface Engineer

Warrenton, VA · On-site

$150K - $200K/yr

Description Altamira Technologies has a long and successful history providing innovative solutions ... The scope of the project is to be the mission integrator and execute end-to-end mission integration ...

Data Scientist

Reston, VA · On-site

$140K - $230K/yr

McLean VA Altamira Technologies has a long and successful history providing innovative solutions ... program manager. * Assess technology development and evaluate its operational usefulness and ...

Interface Engineer

Warrenton, VA · On-site

$150K - $200K/yr

Altamira Technologies has a long and successful history providing innovative solutions throughout ... The scope of the project is to be the mission integrator and execute end-to-end mission integration ...

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$140 - $190/hr

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Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Altamira Technologies Corporation is in search of a Senior AI/ML Lead Engineer in Dayton, OH

As the Senior AI/ML Lead Engineer, you will spearhead the development and deployment of intelligent systems designed for real-world object tracking, automated monitoring, and intelligent triaging. You will bridge the gap between high-level research and production-grade software, coordinating complex data collections across multiple concurrent projects.

Acceptable candidates must be a US citizen and hold a current Secret clearance or higher.

Core Responsibilities
  • System Architecture:Design and implement scalable, high-performance infrastructures for real-timeobject detectionandtrackingusing frameworks like PyTorch or TensorFlow.
  • Intelligent Triaging:Develop automated triage systems that prioritize and categorize incoming sensor or project data, ensuring critical events are escalated instantly.
  • Collection Coordination:Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation.
  • Technical Mentorship:Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines.
  • Strategic Integration:Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps.
Qualifications & Skills
  • Education:Bachelor’s or above in Computer Science, AI, or a related quantitative field.
  • Experience: 7+ years of professional experience in machine learning, with at least 3 years in a leadership or \"tech lead\" capacity.
  • Computer Vision Expertise:Proven track record in developing computer vision models forobject tracking(e.g., CNNs, Transformers) and real-time video analytics.
  • Advanced Programming:Expert-level proficiency inPythonand familiarity with backend deployment tools (Docker, Kubernetes).
  • Data Management:Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections.
  • Communication:Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.
Preferred Qualifications
  • Experience withagentic AIframeworks and best practice for multiple separate or stacked models
  • Experience managing AI/ML models within development and production environments to include model versioning, source code management, and deployment architecture
  • Familiarity with federal or defense-sector compliance
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