2678 Ai First Software Engineer Associate jobs in Los Angeles,CA

U.S. citizenship is required
Possess a current valid driver's license
Carry and use a firearm. Maintaining firearm proficiency is mandatory.
Be at least age 21 at the time of application and less than age 37 at the time you receive a conditional offer of employment, unless you have previous service in a Federal Civilian Law Enforcement position covered by special law enforcement or firefighter retirement provisions, including early or mandatory retirement. Applicants with veteran's preference must receive a conditional offer of employment prior to reaching age 40 to continue in the application process.
You must obtain a Top Secret Clearance and retain it during your career.
Possess uncorrected visual acuity of no worse than 20/100 binocular, possess corrected visual acuity of 20/20 or better in each eye.
Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500,1000 and 2000Hz ranges.
Submit to a drug test prior to your appointment and random drug testing while you occupy the position.
Complete 13 weeks of intensive training at the Federal Law Enforcement Training Center(FLETC) in Glynco, GA and 18 weeks of specialized training at the James J. Rowley Training Center in Laurel, MD.
Sign a mobility agreement stating your willingness to accept assignments anywhere within the United States and overseas.
Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.

SmartExplore AI is experimental.

New, Posted 1 day ago

Manager, AI Engineer

KPMG

Los Angeles, CA 90021

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

SmartExplore AI is experimental.