11 ml data engineer jobs at 9 companies in South Carolina
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Engineer Data (Multiple Positions) (REF291620F)
Charleston, South Carolina, United States
HybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
3+ YOEBachelor's in engineering/computer science and 3+ years experience with cloud environments (Microsoft Azure, Databricks), Python, PySpark/Scala, SQL, ML, and data pipeline development for test/production data.
Python, SQL, Microsoft Azure, Databricks, PySpark, Scala, Tableau, Power BI, Qlik, Siemens NX, Teamcenter, Microsoft Project, MATLAB, Ansys Fluent, Abaqus
Greenville-Spartanburg Airport District: Manages operations at the Greenville-Spartanburg International Airport.
5+ YOEBachelor's degree or equivalent experience; 5 years in data architecture, engineering, governance, analytics, or strategy; enterprise data platforms, integration, BI, governance, and valid driver's license required.
Microsoft Power BI, Microsoft Fabric, Microsoft Azure, Snowflake, AWS, Google Cloud, API, ETL, ELT, ERP, EAM/CMMS, GIS, CRM, NIST Cybersecurity Framework, TSA, FAA, CJIS, AI, ML
United States or Alabama or Arkansas or Delaware or Florida or Georgia or Iowa or Illinois or Indiana or Kansas or Kentucky or Louisiana or Massachusetts or Maine or Maryland or Michigan or Minnesota or Missouri or Mississippi or Montana or North Carolina or Nebraska or New Hampshire or Ohio or Oklahoma or Pennsylvania or Rhode Island or South Carolina or Tennessee or Texas or Virginia or Wisconsin or West Virginia
RemoteFull Time
Revecore: Identifies and recovers underpaid medical claims for hospital systems.
Bachelor's in a data-centric field, strong ML experience deploying models to production, Python and scikit-learn proficiency, experience with cloud ML pipelines, NLP and Spark a plus.
Specialist, Field Monitoring - Technical Field Data
Blythewood, South Carolina, United States
$95k-$120k/yrOnsiteFull Time
Scout Motors: Designs and manufactures all-electric rugged SUVs and trucks.
5+ YOE5+ years in data analytics or data processing, automotive/vehicle context preferred; experience with large datasets, telemetry, and VoC analytics; strong SQL, Python, Databricks, and cloud skills; AI/ML familiarity; ability to translate insights into engineering actions.
Databricks, SQL, Python, Cloud platforms, JavaScript, HTML/CSS, Power BI, PowerApps
Senior Data Scientist – Agentic AI & Multi-Cloud Architecture - Active Top Secret Clearance
North Charleston, South Carolina, United States
HybridFull Time
Akima: Provider of mission-focused technical and administrative support for government agencies.
10+ YOEActive Top Secret clearance,10+ years in data science/ML/AI/cloud engineering,5+ years designing enterprise AI/ML,Bachelor's in related field,experience with multi-cloud, Kubernetes, Python, REST APIs, and LLMs.
Kubernetes, Azure, Azure Arc, Azure Kubernetes Service (AKS), Amazon Web Services (AWS), Elastic Kubernetes Service (EKS), Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Docker, Helm, GitOps, CI/CD, Hugging Face, vLLM, Text Generation Inference (TGI), pgvector, Milvus, Azure Arc-enabled PostgreSQL, Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, REST APIs
Senior Data Scientist – Agentic AI & Multi-Cloud Architecture - Active Top Secret Clearance
North Charleston, South Carolina, United States
HybridFull Time
Akima: Delivers mission-critical services and technology to federal agencies.
10+ YOEActive Top Secret clearance, bachelor's degree in a technical field, 10+ years experience in data science/ML/AI/cloud engineering, strong Python, Kubernetes, multi-cloud (Azure/AWS/GCP) and AI orchestration experience.
Microsoft Azure, Microsoft Azure Arc, Microsoft Azure Kubernetes Service (AKS), Amazon Web Services (AWS), Elastic Kubernetes Service (EKS), Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Kubernetes, Docker, Helm, GitOps, Infrastructure as Code, CI/CD, Hugging Face, vLLM, Text Generation Inference (TGI), Open-weight Large Language Models, Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, pgvector, Milvus, Microsoft Entra ID, Microsoft Azure AI Foundry, AWS Bedrock, Google Vertex AI, Python, REST APIs
Senior Product Manager, AI & Data Science Products
Seattle or Richmond or Austin or North Charleston or Philadelphia or San Francisco or Denver or Miami or Atlanta or Chicago or Augusta or Boston or Las Vegas or Trenton or New York or Raleigh or Portland
RemoteFull Time
Crunchbase: A platform providing comprehensive data and intelligence on companies.
3+ YOERequires 3+ years of product management or comparable experience, customer-facing AI or data product ownership, applied AI/ML knowledge, data science and engineering collaboration, experimentation, analytics, and quality evaluation skills.
Sunbelt RentalsNYSE: SUNB: Renting construction, industrial, and specialty equipment and tools.
Bachelor's degree in data science/engineering/computer science, experience with AI/ML for predictive maintenance, familiarity with CAN bus/Modbus telematics data, Python/R, SQL, big data tooling, and ability to translate technical findings to non-technical stakeholders.
CAN bus, Modbus, Python, R, TensorFlow, PyTorch, Scikit-learn, GPS, Telematics Control Unit (TCU), SQL, Hadoop, Apache Spark, Power BI, Tableau
3+ YOEBachelor's in business/CS/IS (Master's preferred),3+ years product management experience,experience with AI/ML or Generative AI products,KPI definition and partnering with engineering/data science in regulated environments.
LPL FinancialNASDAQ: LPLA: Provides wealth management and brokerage services to financial advisors.
3+ YOE3+ years in product management; AI/ML or Generative AI experience preferred; KPI definition and business impact measurement; collaboration with Engineering and Data Science in regulated environments; Bachelor's degree (Master’s preferred).
AI, Copilot, Chat-based experiences, Agentic systems, Monitoring and evaluation frameworks
Philadelphia or Washington or Tampa or Dallas or Charleston
RemoteFull Time
VetsEZ: Digital transformation and healthcare IT services for government agencies.
2+ YOEBachelor's degree, 2+ years full-cycle technical recruiting experience, experience with ATS and LinkedIn Recruiter, recruiting for IT roles (cloud, AI/ML, DevSecOps, cybersecurity, data engineering), strong communication and organizational skills, must reside within the continental US.
LinkedIn Recruiter, Applicant Tracking Systems (ATS)