5 engine platform engineer jobs at 3 companies in North Vernon, IN
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AI Platform Engineer
Loveland, Ohio, United States
RemoteFull Time
ERP Suites: Privately held U.S. JD Edwards technology services provider helping enterprises with consulting, managed services, cloud, and AI.
2+ YOE2+ years in AI platform engineering, infrastructure, DevOps, or cloud engineering; OCI expert; CI/CD, scripting (Python/SQL/Bash); strong documentation and communication.
Cummins Inc.NYSE: CMI: Global power leader in engines, powertrains, and energy solutions.
1+ YOEBachelor's degree or equivalent experience in computer science, information technology, business, or related field; 1–3 years' experience; Python or PowerShell scripting, cloud platforms, and analytical skills.
Toyota Material Handling North America: North American forklift manufacturer and warehouse-solutions provider serving Toyota and Raymond customers.
Currently enrolled in computer science, engineering, robotics, mechatronics, or related degree program with 3.0+ GPA; requires C++, Python, TensorFlow or other machine learning platforms, OpenCV, Linux, and research experience.
Cummins Inc.NYSE: CMI: Global power leader in engines, powertrains, and energy solutions.
4+ YOEDegree or equivalent experience in a related field; 4–6 years in product management, platform engineering, or technical program management, including 2+ years in AI, ML, or enterprise software platforms; agentic AI expertise required.
Sr. Manager, Technical Architect – Enterprise AI Solutions
Shelbyville or Jeffersonville or Mesquite or Walnut Creek or Kitchener
$130k-$185k/yrRemoteFull Time
Canadian SolarNASDAQ: CSIQ: Global renewable energy manufacturing solar and storage solutions.
8+ YOE3+ MgmtLead enterprise AI architecture, design scalable AI platforms, governance, and cross-functional leadership; 8+ years in AI/software engineering; experience with GenAI, LLMs, cloud; strong Python.
Python, OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, Azure AI Services, LangChain, RAG, Vector databases, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, CI/CD, DevOps, SAP S/4HANA, Microsoft Dynamics 365, Power Platform, Databricks, SQL, Spark