Machine Learning/AI Engineer
Merrifield, VA
Experience: 0
Category: Information Technology
Contractor Work Model: Hybrid
Brand: System One
Job ID: 376011
Date Posted: 06/25/2026
Shortcut: http://jobs.systemone.com/D6Yx7H
Job Title: Machine Learning/AI Engineer
Location: Hybrid in Vienna, VA or Remote
Pay Rate: Open to Both W2 and established 1099 options (no c2c)
Position Type: Multiyear Contract
We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c.
This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure.
Responsibilities
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.
Requirements
• Advanced degree in in computer science, mathematics, physics, statistics.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Experience with Natural Language Processing/ Natural Language Understanding.
• Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
• Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
• Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases.
• Ability to work individually, and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired:
• Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge on principles of A.I. Security and Safety.
• Experience with Advance Reinforcement Learning Paradigms.
• Experience with Speech Recognition.
• Experience with Microsoft Azure services.
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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Ref: #851-Rockville-S1
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