Machine Learning (ML) Engineer

• Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage.
• Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time.
• Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk.
• Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows.
• Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development.
• Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies.
• Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning.
• Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process.
• Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption.
• Utilizing appropriate code share repositories (e.g., GitHub) for all development activities.

This position is contingent on contract award.

Work Environment:

• Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
• Ability to sit at a computer terminal for an extended period of time.

Physical Demands:

• While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
• Employee is often required to sit and use their hands and fingers to operate a computer.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field.
• Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments.
• Current, active TS/SCI security clearance.
• Outstanding communication skills, influencing abilities, and client focus.
• Professional proficiency in English is required.
• Demonstrated proficiency in using all Microsoft Office applications.
• Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id (https://www.dhs.gov/real-id/about-real-id) and at https://www.tsa.gov/travel/security-screening/identification (https://www.tsa.gov/travel/security-screening/identification).
• Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position.

Preferred Requirements

• Master’s degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
• Experience working in DoD or Intelligence Community environments.
• Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations.
• Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments.
• Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases.
• Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints.
• One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification.

Pulled from the full job description

• Pet insurance
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Flexible spending account, WWC Global offers a competitive benefits plan including:
• Health, Dental, and Vision Insurance
• Flexible Spending Accounts
• Life and Disability Insurance
• 401(k)
• Paid Time Off
• Paid Holidays
• Employee Assistance Program
• Pet Insurance

WWC Global, an operating firm of Command Holdings, is a tribally-owned firm providing management consulting services to U.S. government agencies.

Pursuant to PL 93-638, as amended, preference will be given to qualified Native Americans and spouses in all phases of employment.

At WWC Global, our employees are the embodiment of our success as a firm. Our team is comprised of a tenacious group of professionals located across the globe. It includes military veterans and spouses of active duty troops, former federal employees, policy experts, academics, attorneys, and technical and business experts, all of whom share a strong work ethic and the skills to succeed in both collaborative and independent environments. WWC Global is invested in the long-term success of both our clients and colleagues for the right reasons. Our dedication to putting good government into practice is underpinned by a merit-based culture that measures success by productivity and credibility.