[Remote] AI/ML Architect

Note: The job is a remote job and is open to candidates in USA. DecisionPoint Corporation is seeking an AI/ML Architect to support federal and DoD-aligned mission environments. The role designs AI/ML pilots, predictive analytics and anomaly detection models, machine learning pipelines, and advanced analytics solutions, while collaborating with data scientists, engineers, cybersecurity teams, dashboard developers, and PMO leadership. The position is fully remote and supports experimentation, governance, documentation, and integration of AI/ML capabilities.

Responsibilities

• Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content automation
• Build prototypes for IT and cybersecurity anomaly detection using operational, log, and behavioral datasets
• Develop algorithms for personalization, content classification, and relevance scoring
• Create end-to-end machine learning pipelines including preprocessing, feature engineering, model training, validation, and deployment
• Work with system owners and cybersecurity teams to identify model inputs, risk indicators, and performance thresholds
• Collaborate with dashboard developers to operationalize ML insights into mission dashboards
• Evaluate new AI technologies, frameworks, and tools for mission applicability
• Support data exploration, hypothesis testing, and experiment design
• Produce documentation including model descriptions, assumptions, validation reports, and integration specifications
• Ensure AI/ML models follow governance guidelines for accuracy, explainability, bias mitigation, and security compliance
• Recommend optimization opportunities based on data-driven insights and trend analysis

Skills

• Candidate must possess an active Secret clearance or higher
• Bachelor's degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field
• Minimum of 12 years IT architecture experience with a minimum of 5 years of experience designing AI solutions
• Experience with anomaly detection, predictive analytics, behavioral analytics, or pattern recognition
• Experience supporting AI/ML pilots or prototypes within federal, DoD, or mission-critical environments
• Experience building machine learning pipelines and experiment designs
• Proficiency with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Strong understanding of statistical modeling, anomaly detection, and predictive forecasting
• Experience with Python, R, or similar programming languages
• Familiarity with data pipelines, feature engineering, and data transformation
• ITIL v4 Foundation
• Strong problem-solving and analytical abilities
• Ability to communicate complex AI/ML concepts to technical and non-technical audiences
• High attention to detail for model validation, accuracy, and performance tuning
• Ability to work across multiple teams and integrate AI/ML results into broader program strategies
• Strong documentation and communication skills for model explainability
• Experience in cloud-based ML platforms (AWS Sagemaker, Azure ML, etc.)
• Knowledge of cybersecurity datasets and detection logic
• Familiarity with LLMs, vector embeddings, or retrieval-augmented AI architectures
• AI/ML professional certifications
• Cloud practitioner or cloud security certifications

Benefits

• Fully remote work arrangement

Company Overview