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Data Engineering Manager 80724

Garner,NC

567 Data Engineering Manager 80724 jobs in Garner,NC

New, Posted 11 hours ago
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Manager in Training

Globe Life Liberty National Division: Wagner Agencies

Raleigh, NC

$70,000-$100,000/yr
Onsite

  • High school diploma or GED
  • Willing to undergo a background check
  • Driver License
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New, Posted 23 hours ago
ZipRecruiter

Inventory Specialist

Kryosphere

Cary, NC

Easy Apply

RQ16868 - Technical Enablement Lead (AI senior Program Lead)

Adecco

Morrisville, NC

$80/hr
Hybrid~ 37 minHealth InsurancePaid Time OffRetirement Benefit

  • Max Pay: $80.00/hour
  • Hybrid Work Environment
  • Potential to convert to direct-hire
  • Senior Enablement Program Lead
  • NVIDIA AI Factory Readiness
  • Design, operationalize and execute a global technical enablement framework
  • Prepare engineering teams to independently deploy, optimize and support NVIDIA AI Factory solutions
  • End-to-end enablement strategy across technical learning paths, instructor-led training, certification management, deployment shadowing, learning platform integration, operational reporting and executive governance
  • Working across NVIDIA, Delivery, Sales, Learning & Development, Manufacturing and Product organizations
  • Establishes a scalable global enablement framework spanning AI infrastructure, software, networking, validation and operational services
  • Own and operationalize complete NVIDIA AI Factory technical readiness program supporting approximately 80–100 global delivery engineers
  • AI Factory Infrastructure Deployment
  • GPU compute infrastructure deployment
  • NVIDIA networking deployment
  • AI infrastructure validation and performance optimization
  • Cluster deployment methodologies
  • Production readiness validation
  • NVIDIA AI Enterprise (NVAIE) Software Enablement
  • Foundation
  • AI Enterprise architecture and portfolio awareness
  • Software deployment concepts
  • Operational workflows
  • Level 1 Support
  • Incident triage
  • Initial troubleshooting
  • Case routing
  • Operational support
  • Level 2 Support
  • Advanced troubleshooting
  • Software configuration
  • Deployment optimization
  • Root cause analysis
  • Product Specialization
  • Develop advanced product-specific competency across Design, Configure, Build, Deploy, Operate and Manage disciplines for selected NVIDIA AI Enterprise solutions.
  • Certification & Technical Validation
  • Coordinate learning prerequisites, labs, exam readiness, certification completion, skills tracking and executive reporting.
  • Field Readiness & Deployment Shadowing
  • Phase 1 – Deployment Observation
  • Phase 2 – Supervised Delivery
  • Phase 3 – Independent Delivery Readiness
  • Workstream 2 – Learning Platform Integration
  • Partner with Learning & Development to integrate NVIDIA learning paths into learning platforms, standardize learning journeys, maintain curriculum alignment, improve learner reporting and establish scalable enablement processes.
  • Workstream 3 – Global Enablement Operations
  • Coordinate global technical workshops, training voucher utilization, manufacturing site enablement, deployment shadowing with NVIDIA NVIS teams, KPI reporting, executive reviews and continuous program improvement.
  • Learning Modalities
  • Self-paced digital learning
  • Instructor-led NVIDIA training
  • Internally-developed enablement content
  • Hands-on technical laboratories
  • Certification exams
  • Deployment shadowing
  • On-the-job learning
  • Grow integration
  • Role-based learning journeys
  • Technical Personas Supported
  • Solution Architects
  • Pre-Sales Engineers
  • AI Factory Deployment Engineers
  • Infrastructure Delivery Engineers
  • Technical Services
  • L1/L2 Support Engineers
  • Manufacturing Technical Teams
  • Partner Delivery Organizations
  • Success Measures
  • 80–100 engineers trained and deployment-ready
  • NVIDIA learning integrated into learning platforms
  • Global workshops executed across regions
  • Training vouchers and certifications successfully managed
  • Deployment shadowing program operational
  • Executive KPI reporting established
  • Boundaries
  • In scope: global enablement strategy, program leadership, stakeholder coordination, reporting and operational execution.
  • Out of scope: Authoring NVIDIA curriculum, acting as instructor, software development, customer consulting delivery and commercial negotiations.
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New, Posted 1 day ago
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Process Development Engineer 1

Dell

Apex, NC

~ 23 min Onsite

  • Process Development Engineer 1
  • Supporting Global Operations Storage and Solutions manufacturing
  • Driving Productivity improvements with Quality focus
  • Work with multiple local organizations such as Operations, Quality, Test Engineering, and EH&S
  • Determine manufacturing cost, timing, capacity and equipment requirements
  • Support Manufacturing Operations to initiate process improvements to improve factory output and reduce cycle time
  • Works with other engineers and group teams on projects to exchange information and assist on project completion
  • Create/update/maintain nd provide necessary training to operators per EH&S; requirements
  • Estimate manufacturing cost, determine time standards and make recommendations for tooling and process requirements of new or existing product lines, including Automation
  • Maintain records and reporting systems
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FSP Associate Manager, Safety Data and Systems - Pharmacovigilance

Thermo Fisher Scientific

Garner, NC

Onsite

  • At least Bachelors' degree (or country equivalent) in computer science, data science, computational linguistics, applied statistics/biostatistics, life sciences / Information technology or other relevant field required.
  • Python, ML/NLP frameworks, model deployment/monitoring, MLOps tooling, ideally exposure to LLMs on unstructured clinical/safety text.
  • Working understanding of safety database data models (Argus/ArisG) and E2B(R3) structure.
  • Relevant experience in IT / Safety / Clinical Research / Pharmacovigilance overall with at least 3 years of proven experience with safety database systems (e.g. ARGUS or ArisG) including workflow management
  • Equivalent and adequate combination of education and experience or proven practical expertise in all of the required skills
  • Proficiency in Python for ML development, including scikit-learn, pandas, NumPy; experience with at least one deep learning framework (PyTorch or TensorFlow).
  • Natural language processing for extraction of adverse events, drugs, and outcomes from unstructured text - case narratives, medical literature, call transcripts, and spontaneous reports.
  • Named Entity Recognition (NER), relation extraction, and text classification
  • Experience with transformer-based / large language models (BERT-family, clinical/biomedical models such as BioBERT or PubMedBERT, and modern LLMs) for narrative generation, summarization, and information extraction.
  • MedDRA and WHODrug auto-coding using ML/NLP; prompt engineering and retrieval-augmented generation (RAG) a plus.
  • Supervised and unsupervised methods for classification, clustering, and anomaly detection.
  • Feature engineering and model evaluation (precision/recall trade-offs, ROC/AUC, calibration) with an understanding of why recall and sensitivity are weighted heavily in a safety context.
  • Model lifecycle management: versioning, monitoring, drift detection, retraining pipelines using standard MLOps tooling (e.g. MLflow, Azure ML, Databricks) in line with client DT/BIS standards
  • Model explainability / interpretability (SHAP, LIME) - essential where decisions must be defensible to health authorities.
  • Understanding of GxP / GAMP 5 validation as applied to AI/ML systems, model governance, and emerging regulatory expectations (EMA reflection paper on AI, FDA guidance) — rare and worth flagging as preferred.
  • Proficiency in Safety Database systems (e.g. Argus) and knowledge of other technical systems applicable to Safety /Pharmacovigilance (e.g. E2B gateway, safety signal detection tools and systems) is a plus.
  • Proficiency in electronic systems commonly used for Safety / PV, like for data visualization and analysis, dashboards
  • Solid understanding of the quality management processes, metrics and KPIs
  • Good knowledge of relevant pharmacovigilance regulatory requirements and guidance documents (including Europe, US, Japan)
  • Proficient in the Microsoft 365 stack (Excel, Word, PowerPoint, Teams, SharePoint, OneDrive) and in modern collaboration and documentation tooling
  • Advanced Excel required; working proficiency in SQL required for querying safety and operational datasets
  • Fluent communication in written and spoken English required
  • Ability to work independently with minimal oversight and prioritize effectively
  • Ability to complete multiple complex deliverables within tight timelines
  • Ability to function effectively in a team environment
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Data Labeling Specialist: Remote Contract

Workada

Raleigh, NC

Remote
New, Posted 1 day ago

Process Development Engineer 1

Dell Careers

Apex, NC

New, Posted 5 hours ago
ResumeLibrary

Shift Manager – Flexible Schedule

Taco Bell - Lillington

Lillington, NC

Flexible Schedule
New, Posted 5 hours ago
ResumeLibrary

Shift Manager – Flexible Schedule

Taco Bell- Smithfield

Smithfield, NC

Flexible Schedule

NEW PAY Increase Regional, home weekly

Epes Transport System, LLC.

Raleigh, NC

  1. Garner,NC Jobs
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What companies are hiring Data Engineering Manager 80724 jobs in Garner,NC?

  1. Globe Life Liberty National Division: Wagner Agencies
  2. Kryosphere
  3. Adecco
  4. Dell
  5. Thermo Fisher Scientific
  6. Workada
  7. Dell Careers
  8. Taco Bell - Lillington
  9. Taco Bell- Smithfield
  10. Epes Transport System, LLC.

What is the hourly salary range for Data Engineering Manager 80724 jobs in Garner,NC?

The hourly salary range is $80 - $80.

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