1298 Machine Learning Devops Engineer jobs in Los Angeles,CA

Machine Learning Engineer - Hospital

Prosum

Los Angeles, CA 90079

D3 Search

Los Angeles, CA 90079

Hadrian

Los Angeles, CA 90012

CNC Machine Operation - Ability to run and operate CNC machines including part setup, tool loading, tool offsets, spindle probing
U.S. citizenship or eligible to obtain ITAR authorizations (ITAR Requirements) per ITAR section
Process Engineering - Has a track record of successfully machining difficult parts with stringent requirements. Understands the pitfalls of operation selection, material removal, tooling application, and material science
Machining Knowledge - Has applicable experience with a variety of machine types (mills, lathes), materials (alum, stainless, hard metals), tooling application, workholding, and fixture design
Communication - Excellent communication skills both written and verbal
CAM Programming - 5+ years programming aerospace parts
GD &T - Strong understanding of GD&T; and engineering print reading
U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State

BOOZ, ALLEN & HAMILTON

El Segundo, CA 90245

3+ years of experience performing systems engineering analysis and developing systems engineering products for DoD or government systems
Bachelor's degree in a Science, Technology, Engineering, or Mathematics field
Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification
5+ years of experience with large-scale missions and systems engineering and integration
Ability to communicate and establish collaborative relationships with government clients, Federally Funded Research and Development Center s ( FFRDC ) , and asso cia te contractor teammates to achieve program goals
Secret clearance
3+ years of experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody