AI/ML Engineer (Expert)
At a glance
Mid-level Machine Learning Engineering role at SOSi. Chantilly · full-time · no salary stated · we estimate $154,463–$174,413.
SOSi has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Shape advanced AI/ML architecture, responsible-use implementation and plans for deploying models across the enterprise
- Set AI direction and roadmaps that move technology from research through testing and into operational use
- Turn data science research and analytics into enterprise-ready AI/ML and deep learning applications using GPU
- Build production MLOps pipelines and apply neural networks, reinforcement learning and model interpretability
What you bring
- At least fifteen years of relevant professional experience
- Deep knowledge of neural networks, reinforcement learning, model interpretability and production MLOps pipelines
- An active TS/SCI clearance with Polygraph
Who this fits
This mid-level, onsite role in Chantilly suits an experienced AI/ML engineer with deep technical expertise. The position depends on a contract award.
From the employer
Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.
*Position is contingent upon contract award*
SOSi is seeking an AI/ML Engineer to support our government customer in Chantilly, VA.
Essential Job Duties
- Serves as a key technical resource for advanced AI/ML architecture, responsible AI implementation, and enterprise-scale model deployment strategies.
- Define AI strategies and roadmaps supporting TRL progression from research to operational deployment.
- Active in scope TS/SCI w/ Poly.
- Minimum 15+ years of relevant experience.
- Deep expertise in neural networks, reinforcement learning, model interpretability, and production of MLOps pipelines.
- Experience in productionizing data science research capabilities and analytics, with a focus on transforming these into enterprise-ready applications including AI/ML and deep learning models with GPU.
Work Environment
- Normal office conditions.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.