Systems Engineer - Machine Learning (ML) Integration and Optimization at SilverEdge

Fort Meade, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Systems Engineering, Machine Learning, Linux, Scripting, Interpersonal Skills, Communication Skills, Writing Skills, Data Characterization, Automation, Testing, Kubernetes, Wireshark, SONET, Ethernet, VoIP, Python

Industry

Defense & Space

Description

Overview SilverEdge is a premier provider of innovative cyber, software, and intelligence solutions, addressing mission-critical challenges for the Department of Defense (DoD), Intelligence Community (IC), and beyond. We are dedicated to delivering impactful results to meet mission goals through cutting-edge technology and expertise. We are seeking a Systems Engineer - Machine Learning (ML) Integration and Optimization to join our dynamic team. This individual will play a pivotal role in developing innovative and effective solutions for our DoD customers within the IC sector. This position will be testing the integration of ML Models and will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation. Required Qualifications Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required Bachelor’s degree in a relevant field (Computer Science, EE, System Engineering, etc.) or an additional 5 years of systems engineering experience in lieu of a degree. Strong Linux skills required Must have experience with Machine Learning, and preferably with implementation/integration, and test of Machine Learning apps or technologies Scripting skills (python, bash, JavaScript, or other) Strong interpersonal, communications and writing skill Government issued clearance with polygraph required Desired Qualifications Experience testing with large, high throughput data sets Experience automating/scripting test and analysis of results Experience with Yolo Experience with python Experience with Wireshark or other protocol analyzer. Knowledge of and experience with scripting languages to process automation. Experience installing, monitoring, and optimizing Kubernetes clusters. Completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (451). Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding About SilverEdge SilverEdge Government Solutions was founded on the belief that nurturing talent and collaborating closely with our customers enables us to think big and deliver the best for our country. Our mission is to bring top technology talent together to solve the world’s most challenging problems while protecting the United States and our allies.SilverEdge Government Solutions, LLC is an Equal Opportunity Employer and applicants receive lawful consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Responsibilities

The Systems Engineer will be responsible for testing the integration of Machine Learning models and optimizing system performance. This role involves characterizing large data sets through automation and conducting both quantitative and qualitative testing.