Mission Optimization AI/ML Engineer

Responsibilities

Overview:

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.

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.

Qualifications

Required:

• 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.

Desired:

• 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.

EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.