Senior Machine Learning Engineer / Senior AI Engineer

Senior Machine Learning Engineer / Senior AI Engineer| Full Time - Rosslyn, VA

A Defense Tech and SaaS company located

onsite in Rosslyn, VA

is hiring a

full-time Senior Machine Learning Engineer or Senior AI Engineer . They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like

GCP Vertex, AWS, and Azure . This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.

This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.

Required Skills & Experience • 4+ years of experience in Machine Learning or AI engineering • Proven track record of deploying models into production • Strong experience with Python, TensorFlow or PyTorch • Hands-on experience with GCP, AWS, or Azure (multi-cloud is a plus) • Strong understanding of MLOps and model lifecycle management

Desired Skills & Experience • Familiarity with Google Vertex AI • Experience in cybersecurity or national defense settings • Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs • Active clearance (Top Secret or TS/SCI) is a major plus • Background in AI research or academic publications

What You Will Be Doing Tech Breakdown • 50% Machine Learning Model Development • 30% MLOps / Deployment • 20% Cross-functional Systems/Cloud Engineering Daily Responsibilities • 70% Hands-On Engineering • 10% Management Duties • 20% Team Collaboration

The Offer •

Bonus + Equity eligible You will receive the following benefits: • Medical, Dental, and Vision Insurance • Paid Vacation Time • Stock Options / Equity Participation

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Clearance is not required, but candidates must be eligible for a clearance. Senior Machine Learning Engineer / Senior AI Engineer | Full Time - Rosslyn, VA

A Defense Tech and SaaS company located

onsite in Rosslyn, VA

is hiring a

full-time Senior Machine Learning Engineer or Senior AI Engineer . They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like

GCP Vertex, AWS, and Azure . This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.

This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.

Required Skills & Experience • 4+ years of experience in Machine Learning or AI engineering • Proven track record of deploying models into production • Strong experience with Python, TensorFlow or PyTorch • Hands-on experience with GCP, AWS, or Azure (multi-cloud is a plus) • Strong understanding of MLOps and model lifecycle management

Desired Skills & Experience • Familiarity with Google Vertex AI • Experience in cybersecurity or national defense settings • Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs • Active clearance (Top Secret or TS/SCI) is a major plus • Background in AI research or academic publications

What You Will Be Doing Tech Breakdown • 50% Machine Learning Model Development • 30% MLOps / Deployment • 20% Cross-functional Systems/Cloud Engineering Daily Responsibilities • 70% Hands-On Engineering • 10% Management Duties • 20% Team Collaboration

The Offer •

Bonus + Equity eligible You will receive the following benefits: • Medical, Dental, and Vision Insurance • Paid Vacation Time • Stock Options / Equity Participation

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Clearance is not required, but candidates must be eligible for a clearance.

#KW-LI1

Posted by:

Kendall Whitman

Specialization :

Data Engineering