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Aws Data Engineer

Charlotte,NC

1165 Aws Data Engineer jobs in Charlotte,NC

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Sr. Engineer - Nuclear Power Engineer, Plant

ENTRUST Solutions Group

Charlotte, NC 28230

Flexible Schedule
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Superica South End

Charlotte, NC 28203

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Data Center HVAC Field Service Engineer

Trane Technologies

Davidson, NC 28036

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or equivalent required
  • Minimum of 5 years of field experience in HVAC, chiller service, or related mechanical systems
  • EPA certification required
  • Valid driver's license required with an acceptable driving record
  • Ability to travel extensively
  • Ability to work flexible hours, including extended shifts, weekends, or holidays as business needs require
  • Ability to work independently with limited supervision in fast-paced and high-pressure environments
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Assembler - Charlotte (Day & Swing Shift)

Schweitzer Engineering Laboratories

Charlotte, NC 28269

$26/hr
Onsite

  • Lift, push, pull and maneuver up to 40 pounds frequently
  • Sit and/or stand at least 8 hours
  • Vision correctable to 20/30 or better
  • Differentiate color
  • Reach, bend, kneel, twist, grip, pinch
  • Fine finger dexterity sufficient to handle and place parts with precision and accuracy for at least 8 hours
  • Strong writing, documentation, and speaking skills in English
  • Read and interpret electrical schematics, wiring diagrams, and panel layouts
  • Label wires, devices, and panels to specification
  • Perform panel testing, inspection, and troubleshooting to verify proper operation
  • Identify and correct wiring or assembly issues prior to final delivery
  • Follow safety standards, quality procedures, and build documentations
  • Following detailed work instructions to perform production duties such as assembly, operating machinery, packaging products and soldering
  • Learning and following all safety policies
  • Developing positive and effective working relationships with co-workers
  • Following and applying SEL Values, Principles of Operations, and World Class Manufacturing Principles
  • You demonstrate a willingness to learn, retain information and can become proficient in basic electronic production processes
  • You obtain a basic understanding of quality and productivity standards
  • You have an ability to listen, comprehend, and follow technical instructions
  • You have an ability to learn new skills and assume new responsibilities
  • You have an ability to work cooperatively in a team environment
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1st Shift Fitter- Rock Hill, SC

STEELFAB, INC. (MISC. & SPECIALTY METALS)

Rock Hill, SC 29732

~ 41 min Onsite

  • High school education or equivalent
  • Basic knowledge of ASIC code of standard practices and AWS D1.1 Chapter 3 (workmanship)
  • Ability to read tape measure to 1/16" increments and add / subtract dimensions
  • Ability to read weld symbols
  • Basic knowledge of structural steel fasteners
  • Must be able to lift a minimum of 50 lbs
  • Should be knowledgeable in procedures 401, 402, 403, 404, 405
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Head of Data Science & MLOps

Siemens Energy

Charlotte, NC 28230

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Staff Nuclear Quality Engineer

Flowserve

Charlotte, NC 28220

OnsiteBilingual Preferred

  • Bachelor's degree in an engineering field (manufacturing, nuclear, industrial, or mechanical)
  • 3+ years' experience of demonstrated success leading or working in a nuclear quality program that meets the requirements of ASME BPVC, 10 CFR 50 Appendix B, 10 CFR 21, and ASME NQA-1.
  • Knowledge of ASME BPVC, 10 CFR 50 Appendix B, 10 CFR 21, and ASME NQA-1.
  • Skilled in Team Oriented Problem Solving (RCA/CA/PA tools, able to teach and coach).
  • Skilled in process mapping and risk assessment (PFMEA preferably).
  • Experience in Quality Software Systems.
  • Proficiency in Microsoft Office
  • English bilingual, business conversation.
  • US Citizen
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Sr. Director, Account Engineering

Celestica

Charlotte, NC 28230

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Application Engineer

Oerlikon Surface Solutions

Huntersville, NC 28078

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering, material science, or closely related discipline
  • 3+ years of proven experience in metal additive manufacturing
  • Knowledge of metal additive manufacturing, machining, heat treatment, and inspection
  • Experience working in an ISO 9001:2015 / AS9100 certified facility
  • Experience in reading and interpreting specifications, statements of work, and part drawings
  • In compliance with U.S. Government technology export regulations, including the International Traffic in Arms Regulations (ITAR), candidates must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
SmartExplore AI is experimental.
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FSP Associate Manager, Safety Data and Systems - Pharmacovigilance

Thermo Fisher Scientific

Charlotte, 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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