Machine Learning Integration and Optimization Systems Engineer

Booz Allen Hamilton•Usa, MD

13d•$99,000 - $225,000

About The Position

Machine Learning Integration and Optimization Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national security? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution. Join us. The world can’t wait.

Requirements

Experience with machine learning integration and optimization
Experience using Linux
TS/SCI clearance with a polygraph
Bachelor’s degree in System Engineering, CS, Information Systems, Engineering Science, or Engineering Management and 14+ years of experience as a Systems Engineer, or 19+ years of experience as a Systems Engineer in lieu of a degree

Nice To Haves

Experience testing machine learning models
Experience with Yolo and Python
Experience with protocol analyzers such as Wireshark
Experience with scripting languages to process automation
Experience installing, monitoring, and optimizing Kubernetes clusters
Knowledge of SONET / SDH / OTN, ETHERNET, PCM, VSAT, OSI Model, and Computer to Computer ( C2C ) structure, or technologies or protocols such as MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR, and voice or video encoding
Completion of the Advanced Communications Signals Analysis Course and Intermediate Communications Signals Analysis Course