915 Ml Data Project Manager jobs in Los Angeles,CA

High school diploma or GED or international equivalent
Must be 18 years of age or older
Applicable valid driver's license as required by local authorities
Must be able to secure appropriate airport authority and/or US Customs security badges, if applicable
Completion of a pre-employment drug screen, comprehensive background check and/or fingerprinting to satisfy company and security requirements
Ability to obtain jet bridge certification
Must have the ability to pass the US Postal Service background check
Lift, load, unload, and transport bags and cargo to/from aircraft's, bag carts, and conveyor belts
Report to position on time, as scheduled, and at your assigned station or location, including mandatory overtime requirements, varying shifts, weekends, and holidays
Adhere to government regulations (e.g., DOT, FAA, TSA)
Wear uniforms as required by company policy
Wear all personal protective equipment (PPE) in accordance with rules and regulations
Work outdoors with exposure to extreme weather/elements, engine noise, and noxious fumes
Move baggage and cargo of various weights to and from aircraft
Drive and operate belt loaders
Service aircraft at gates with ground power and air conditioning
Tow and pushback aircraft from gates
Service aircraft lavatories and water ports
Clean interior of aircraft when needed
Position beverage and luggage carts around the ramp area
Works outdoors in various weather conditions
Work shifts that include irregular and/or extended hours, weekends and holidays

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Manager, AI Engineer

KPMG

Los Angeles, CA 90011

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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