Mission Optimization AI/ML Engineer

Arcfield • Chantilly, VA

2d

About The Position

Arcfield is seeking a dynamic, mission-focused engineer to direct projects aimed at AI/ML adoption to spearhead the optimization, and deployment of machine learning capabilities tailored for complex systems analysis. This individual will be a trusted advisor, guiding AI/ML strategy to ensure alignment with our customer's priorities while assessing industry approaches for cost-efficiency and technical viability. The candidate should also have experience being a subject matter expert (SME) in their field, providing clear guidance and support to stakeholders.

Requirements

• Must possess and be able to maintain a TS/SCI with Poly.
• Bachelor's degree with 12-15 years total professional experience in a relevant field such as AI/ML, Data Science, Engineering, or Systems Analysis (or Master's degree with 10-13 years or PhD with 10+ years).
• Minimum of eight (8) years of experience guiding AI/ML strategy and implementation in complex operational environments.
• Deep expertise in AI/ML frameworks, including TensorFlow, PyTorch, and Scikit-learn.
• Strong leadership in managing AI-driven initiatives and cross-functional collaboration.
• Experience driving the adoption of cloud-based AI solutions (AWS, Azure, or Google Cloud) for mission-critical applications.
• Proven ability to assess, develop, and optimize AI models for real-time and large-scale data operations.

Nice To Haves

• Advanced degree (MS or PhD) in AI/ML, Data Science, Engineering, or a related technical domain.
• Experience in applying AI/ML to defense, cybersecurity, or mission-critical operations.
• Expertise in data engineering, feature engineering, and model deployment strategies.
• Familiarity with automated machine learning (AutoML) techniques.
• Professional AI/ML certifications such as Microsoft Certified AI Engineer Associate or AWS Machine Learning Specialty.

Responsibilities

• Lead AI/ML innovation initiatives focused on predictive modeling, automation, and advanced data analysis.
• Direct the prototyping of deep learning applications for computer vision, sensor intelligence, and anomaly detection.
• Serve as a subject matter expert, offering technical and strategic advice to internal teams and external stakeholders.
• Continuously evaluate emerging AI/ML advancements to identify transformative opportunities for operational efficiency and mission effectiveness.
• Oversee the optimization and deployment of scalable AI solutions across edge and cloud environments.
• Develop integration strategies for AI-driven analytics within enterprise systems for the purpose of enhancing customer’s mission effectiveness.
• Ensure strict compliance with security policies and data governance frameworks to uphold operational integrity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees