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Network Engineer

Stockbridge,GA

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571 Network Engineer jobs in Stockbridge,GA

New, Posted 1 day ago
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Device Engineer (Einfochips Inc)

Arrow Electronics

Peachtree City, GA 30269

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Platform Engineer

Cargill

Atlanta, GA 30334

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Controls Engineer

Geiger

Atlanta, GA 30301

Sales Engineer (Power Supply Expert)

Sager Electronics

Atlanta, GA 30306

$63,375-$105,950/yr
New, Posted 21 hours ago
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Global IT Platform Engineer Manager​

Boston Consulting Group

Atlanta, GA 30309

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Roadway Design Engineer - PE

DRMP

Lake City, GA 30260

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor of Science from an ABET-accredited university in Civil Engineering
  • Georgia Professional Engineer (PE) license
  • 6-10 years of transportation roadway design experience
  • Proficiency in Bentley's MicroStation and OpenRoads Designer
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Nuclear Engineer

U.S. Navy

Hampton, GA 30228

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Low Voltage Superintendent

Faith Technologies

Smyrna, GA 30081

Requires TravelUrgently Hiring

  • Education: Completion of Electronic Systems Technician (EST) Apprenticeship Program (if applicable)
  • Travel: 60-75%
  • Work Schedule: Between the hours of 6 am to 6 pm, Monday through Friday. May vary based on customer demands and can include, but is not limited to: nights, weekends, and holidays.
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Sr Manager, Data & Analytics Platform

McKesson

Atlanta, GA 30361

Remote

  • Senior Manager, Data & Analytics Platform
  • Leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms
  • Day-to-day platform operations, service reliability, and team execution
  • Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments
  • Experience working in cloud environments (Azure preferred)
  • Typically 9+ years of professional experience and 2+ years of management experience
  • Current, unrestricted authorization to work in the United States on a permanent basis
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Machine Learning Lead Engineer

Cox Automotive

College Park, GA 30349

OnsitePaid Time Off

  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
  • Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
  • Deep expertise in multiple ML domains and familiarity with emerging research areas
  • Strong experience in technology evaluation, competitive analysis, and strategic planning
  • Comfortability with non-deterministic systems
  • Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
  • Experience in Rally, Jira or similar tools
  • Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
  • Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
  • Proven track record of leading innovative projects from concept to proof-of-concept
  • Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
  • Experience building and leading high-performing research or innovation teams
  • Excellent communication skills for technical and executive audiences
  • Strong network within the ML research community
  • Experience with research collaboration and partnership development
  • Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
  • Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
  • Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
  • Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
  • Commitment to continuous learning in AI-augmented data science and responsible AI use.
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