4483 Deployed Ai Engineer jobs in Los Angeles,CA

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Program Manager for Transit Agency

Top Tempo Technical

Los Angeles, CA 90011

Onsite

At least 4 years of experience as a vendor-based Program Manager, having managed at least three programs of similar nature, >$50M in total revenue.
At least 4 years of experience managing Programs that include simultaneous projects, having diverse system and contractual requirements, and competing deadlines.
At least 4 years of experience in Consulting/Business Analysis.
Previous experience as a project manager in a fast-paced, high-pressure environment.
Experience managing Software Delivery projects or Systems Integration (Hardware & Software solutions) engagements both Fixed Price and Time & Material.
Two or more of these engagements must have included a Requirements Compliance Matrix that would have been successfully managed by the candidate.

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Manager, Technical Program Management - Content & Business Products

Netflix

Los Angeles, CA 90001

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Lead Product Manager - AI Assistant

Disney

Burbank, CA 91501

$141,900-$190,300/yr

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AI Principal Product Manager

capital group

Los Angeles, CA 90001

Flexible Schedule

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Software Eng - Remote

Vorkis LLC

Los Angeles, CA 90001

$50/hr

Remote

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Project Perseus | Data Quality Team Lead (Human-in-the-Loop AI)

Welocalize

Los Angeles, CA 90001

$43.50/hr

Bilingual Preferred

New, Posted 13 hours ago

ResumeLibrary

Remote Data Entry Operator Full & Part Time

Apex Focus Group

Glendale, CA 91222

$750/wk

Remote

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AI Project Manager

Diverse Lynx

Woodland Hills, CA 91364

$130,000-$150,000/yr

New, Posted 1 day ago

Manager, AI Engineer

KPMG

Los Angeles, CA 90012

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

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