AI/ML Engineer

🕒 November 22, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 76%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DecisionPoint Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.

📋 Description

• Develop rapid prototypes, microservices, APIs, widgets, and integrations to validate new AI/ML concepts • Integrate ML models into dashboards, applications, and operational workflows • Build lightweight UI components that demonstrate how AI outputs can be consumed • Optimize ML pipelines for performance, scalability, and efficient inference • Collaborate with AI/ML Architects and Data Scientists to operationalize models and automation logic • Support data ingestion, feature engineering, and preprocessing tasks for prototype development • Build API wrappers, routing logic, and connector services for ML model interactions • Validate prototype functionality, performance, error handling, and model integration • Contribute to documentation of models, prototypes, integrations, and deployment patterns • Work with cybersecurity teams to ensure integration patterns align with security requirements • Recommend improvements based on usability testing, technical feedback, and mission needs

🎯 Requirements

• Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field • Minimum 5 years of experience in software development, AI/ML engineering, or data-driven application development • Experience building API-driven prototypes, integrations, or microservices • Experience integrating ML models into dashboards, applications, or mission workflows • Experience working with data scientists or ML engineers to transition models to production • Proficiency with Python, JavaScript, or similar development languages • Familiarity with TensorFlow, PyTorch, or Scikit-Learn • Experience building REST APIs, web services, or integration layers • Understanding of data pipelines, preprocessing steps, and ML lifecycle workflows • Required ITIL v4 Foundation certification • Preferred experience with AWS cloud services or ML platforms • Preferred familiarity with front-end frameworks for rapid prototyping • Preferred experience with CI/CD pipelines and DevSecOps tooling • Preferred AI/ML engineering or cloud certifications • Preferred Scrum Master or Agile certifications