1640 Database Engineer jobs in Stone Mountain,GA

18+ months of computer/server hardware troubleshooting or related IT experience
18+ months of computer layer 1/2 networking experience (including troubleshooting and repair)
Work a flexible schedule including weekends, nights, and holidays
Ability to travel to or commute between data center locations as needed
Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
Travel frequency will vary based on business needs and operational status of assigned facility
Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs
Lifting and moving material up to 40 pounds each
Working in cramped and/or elevated locations
Bending, lifting, stretching, and reaching
Standing and walking for up to 8+ hours a day
Ascending and descending ladders, stairs, and gangways safely and without limitation
Work in an industrial environment
Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts)
The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational

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Maintenance Engineer (Spanish Speaking)

Jobot

Tucker, GA 30085

$80,000-$100,000/yr

Bilingual Preferred

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Manager, AI Engineer

KPMG

Atlanta, GA 30349

~ 38 min 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
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
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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