AI/ML Engineer

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. 

We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. 

Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. 

Ignite Digital. The Edge from Within. 

Perks of Working at Ignite Digital:

• Competitive pay and benefits, including PTO
• Education stipends and referral bonuses
• Compelling work with the U.S. federal government
• Strong emphasis on volunteer and community engagement
• Opportunity to shape the future of our industry
• Supportive colleagues and management who invest in your growth

Ignite Digital Services is hiring an AI/ML Engineer to independently contribute to developing and optimizing advanced AI/ML systems and components in support of a large federal enterprise multi-domain data ecosystem. You will operate with autonomy, apply creative solutions, and influence major technical deliverables, while delivering within a larger team project management environment. 

Key Responsibilities:  

• Independently develop and optimize ML models, pipelines, and platform components. 
• Build RAG architectures and high-performing inference systems.  
• Create scalable infrastructure to support training, experimentation, and deployment.  
• Lead integration of AI/ML models into production systems.  
• Conduct advanced troubleshooting and performance tuning.  
• Collaborate with stakeholders to accelerate mission-driven insights. 

Required Skills:  

• Deep experience building LLM-based systems and RAG architectures.  
• Strong proficiency in MLOps tools (e.g. MLFlow, Kubeflow, Airflow).  
• Advanced scripting (e.g. Python, JavaScript, Rust).  
• Expertise deploying models on AWS, Azure, or GCP.  
• Ability to work independently with broad responsibilities. 

Desired Skills: