13 software deployment engineer jobs at 8 companies in Toledo, OH
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AI Software Engineer
Dearborn, Michigan, United States
$115k-$193k/yrHybridFull Time
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
Experienced software engineer with Python, React/Angular, GCP deployment experience, CI/CD and containerization knowledge; strong communication and delivery improvement skills.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
8+ YOEBachelor's in CS/Data Science/AI required (advanced degree preferred). 8+ years software engineering with 3–5 years AI/ML experience. Proficiency in Python, ML libraries, cloud, DevOps, Git, CI/CD, and production deployment experience.
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
8+ YOEBachelor's in CS/Data Science or related; 8+ years software engineering with 3-5 years AI/ML; proficiency in Python, TensorFlow, Scikit-learn, RAG; strong statistics, ML/deep learning, cloud and DevOps experience; proven production deployments.
Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
4+ YOEBachelor's in CS/ECE/Robotics and 4+ years (or Master's+2/PhD) experience; expertise in GPU/DSP and heterogeneous computing; fluency in modern C++, Python, PyTorch, numpy, pandas; embedded AI deployment and performance optimization experience.
Manager, Software Development Engineering, CoCounsel FDE
Frisco or Toronto or Ann Arbor or Eagan
$118k-$220k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
10+ YOE2+ Mgmt10+ years software/solutions engineering, 2+ years people management, hands-on Python and AWS experience, CI/CD and deployment expertise, LLM/agent development and customer-facing delivery.
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
12+ YOE12+ years experience in AI/ML and software engineering, strong Python and SQL skills, experience with cloud platforms (Azure/AWS/GCP), ML model development and deployment, cybersecurity and network analytics experience, Power BI and JIRA familiarity.
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
Expertise in Python, GenAI/LLM integration, frontend frameworks (React/Angular), API design (REST/gRPC), GCP deployment, containerization (Docker/Kubernetes), and CI/CD tools; bachelor’s or master’s in CS/engineering or equivalent experience.
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
3+ YOEBuild and deploy AI infrastructure and tools; own internal AI platform; collaborate with R&D; 3+ years ML/AI production experience; Python; on-prem deployment.
Python, Machine Learning Frameworks, Model Serving, CI/CD, Containerization, Orchestration, Infrastructure as Code
Carhartt: Manufacturer of durable workwear and rugged outdoor apparel.
7+ YOE7+ years related experience with 4+ years hands-on DevOps/CI-CD for web/ecommerce, Azure DevOps/Jenkins/GitHub, build/deploy for SAP, Java/Angular, scripting, cloud deployments (preferably Azure), and strong communication and troubleshooting skills.
Azure DevOps, Jenkins, GitHub, Ant, Maven, JUnit, Postman, SAP Build, API, SQL, Java, Angular, Selenium, ANSIBLE, Dynatrace, SAP Hybris/Commerce Cloud, Docker, Kubernetes, Sonarqube, Infrastructure as code (IaC), GitHub Advanced Security, MS Office 365, Windows 10
StrideNYSE: LRN: Provides online K-12 education and career learning solutions.
5+ YOEBachelor's in MIS/CS or equivalent, 5+ years Salesforce development with Apex, LWC, Visualforce, integrations (REST/SOAP), middleware, deployment tools, CI/CD, Git, and Microsoft Excel; 75%+ test coverage required.
Palo Alto or Irvine or Normal or Plymouth or Atlanta
$173k-$258k/yrOnsiteFull Time
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
8+ YOE8+ years software engineering experience, BS/MS/PhD or equivalent, deep AI/ML expertise with language models, retrieval/embeddings, enterprise production deployments, security/compliance familiarity, strong communication.