Applied AI Analyst
mantechDoral (FL)
About the role
hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Applied AI Analyst to join our team in Doral, FL. Responsibilities include but are not limited to: Evaluating and validating applied artificial intelligence models and machine learning pipelines to ensure technical performance and accuracy. Analyzing complex data sets to identify actionable insights, patterns, and trends supporting customer mission requirements. Collaborating with cross-functional teams, data engineers, and stakeholders to define operational requirements and analytical workflows. Monitoring, testing, and documenting system performance across deployed AI models and analytical platforms. Maintaining baseline configurations, test documentation, and data artifact libraries for artificial intelligence capabilities. Recommending and implementing continuous process and methodology improvements to optimize analytic workflows.
Minimum Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field with 5 years of experience in advanced analytics or AI roles. OR a master’s degree and 3 or more years of relevant experience OR a PhD and 1 or more years of relevant experience OR an associate’s degree and 7 or more years of relevant experience OR a high school diploma and 9 or more years of relevant experience Proven experience analyzing, testing, and evaluating applied AI/ML models or automated decision-support solutions. Proficiency in data manipulation and analytical programming languages such as Python, R, or SQL. Experience creating, maintaining, and communicating complex technical documentation and analytical findings. Strong understanding of data visualization, quality assurance, and workflow integration for complex datasets.
Preferred Qualifications:
Relevant industry certifications in artificial intelligence, data analytics, or cloud architecture. Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments. Familiarity with natural language processing (NLP), computer vision, or automated workflow orchestration platforms. Experience working in collaborative DevSecOps or MLOps environments.
Clearance Requirements: Must hold a current/active secret security clearance.
Physical Requirements:
Must be able to remain in a stationary position 50%. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.aa415a4b-8b21-40fc-a65c-70d2b25ca29a
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