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System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)
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System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)
- United States
- United States
About
Job Description
AEITS, Inc. , a GTSC company, is growing its team! Seeking a
System Engineer for Machine Learning (ML) Integration and Optimization
to support our customer in the
Annapolis Junction, MD
area. Location:
Annapolis Junction, Maryland All work is on-site. This is not a hybrid or remote position.
Mission : As a
System Engineer for Machine Learning (ML) Integration and Optimization , you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position 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.
Requirements: U.S. Citizenship Active TS/SCI with polygraph Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required. Strong interpersonal, communications and writing skills. Basic Linux skills required.
Desired Qualifications Experience Testing Machine Learning Models. 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. Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452). 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.
You are responsible for: Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position 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.
BENEFITS - Full-time Employees 401K with employer contribution. Fully vested at 1 year anniversary. Five (5) weeks comprehensive annual leave (25 workdays). Additional leave can be earned in lieu of overtime. 11 Paid Federal Government Holidays. Up to $5,000 annually for individually tailored education / training program. All education plans must be pre-approved by Advantage Engineering management. Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents. Short-term and long-term disability. We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst. All employees are eligible to earn generous incentives and performance bonuses.
AEITS, a GTSC compan y, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.
GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at
Recruiting@GTSC.com
Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded. GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.
AEOVERTON
Languages
- English
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