About the job
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support our client's cyber mission. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of machine learning engineers across the company and collaborate with users, software engineers, and data scientists to deliver world-class solutions to develop and deploy novel AI and ML solutions to tackle novel cyber challenges. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for our cyber national security clients.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
Experience building and deploying AI and ML solutions into production
Experience with Python programming
Experience with object-oriented programming and best practices
Experience adapting and fine-tuning open-source models such as YOLO or BERT
Experience building applications leveraging LLMs for automation tasks such as text summarization
Experience with containerization technology such as Docker
TS/SCI clearance with a polygraph
Bachelor's degree
Preferred
Experience with Reverse Engineering
Experience with vector databases such as Qdrant and relational databases such as Postgres
Experience with on-prem compute
Knowledge of MITRE ATT&CK framework