7 ai ml infrastructure engineer jobs at 7 companies in Ohio

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AI Engineer - OH
Ohio, United States
OnsiteFull Time
LawPro.ai
LawPro.ai: Private legal AI platform helping personal injury law firms analyze medical records and prepare cases.
5+ YOERequires 5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying production LLMs; RAG, embeddings, vector databases, agentic workflows, EvalOps, cloud infrastructure, and strong software engineering skills.
LLM, RAG, embedding models, vector databases, EvalOps, Evals-as-a-Service, AWS, GCP
1mo
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Director of AI Engineering
Cleveland, Ohio, United States
OnsiteFull Time
Directional Aviation Capital
Directional Aviation Capital: Private investment firm owning and investing in private business aviation companies worldwide.
10+ YOE5+ Mgmt10+ years software/ML engineering experience, 5+ years leadership, MLOps, cloud infrastructure, model lifecycle, Generative AI and LLM deployment experience.
AWS, Azure, Google Cloud Platform (GCP), Kubernetes, Docker, Terraform, Python, SQL, Bash, Git, CI/CD
2mo
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AI Solutions Architect - Central Region
Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yr FieldFull Time
World Wide Technology
World Wide Technology: Global technology solutions provider and digital transformation partner.
10+ YOE10+ years in technical pre-sales/solutions architecture; hands-on AI/ML infrastructure design across GPU, storage, networking and MLOps; NVIDIA and cloud platform experience; bachelor's degree required; strong presentation and whiteboarding skills.
NVIDIA DGX, NVIDIA HGX, CUDA, AI Enterprise, NeMo, Omniverse, Advanced Technology Center (ATC), AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, MLOps
1w
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Senior Applications Engineer (DLA)
Fort Belvoir or Dayton or Washington
HybridFull Time
Expression Networks
Expression Networks: Infinite Intelligence.
10+ YOEBachelor’s degree in a technical discipline and 10+ years’ experience in applications or software engineering; AWS, AI/ML, cloud-native architectures, DevSecOps, CI/CD, infrastructure as code, and DoD IL5 experience required.
AWS, AWS GovCloud, AI/ML, CI/CD, infrastructure as code, Risk Management Framework (RMF), Authority to Operate (ATO), STIGs, Section 508, CAC, PKI
1mo
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Software Engineer and Developer
Dayton, Ohio, United States
$87k-$198k/yr OnsiteFull Time
Booz Allen Hamilton
Booz Allen HamiltonNYSE: BAH: Global firm providing management, technology, and engineering consulting services.
4+ YOERequires TS/SCI clearance, 4+ years software engineering experience (or Master's +2 years), Python, building/maintaining automated data pipelines for AI/ML, containerization and infrastructure experience, and strong problem-solving and communication skills.
Python, Docker, Podman, PyTorch, TensorFlow, Claude, GPT
2w
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Data Scientist, Principal - AI Product Engineering
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$161k-$242k/yr HybridFull Time
Stellarus
Stellarus: A healthcare organization developing innovative, scalable solutions to improve healthcare quality, affordability, and member experience.
10+ YOEBachelor's degree or equivalent practical experience and 10 years in data science, machine learning, AI/ML, software engineering, or advanced analytics. Requires Python, APIs, ML infrastructure, PyTorch, TensorFlow, LangChain, and LangGraph.
Python, PyTorch, TensorFlow, LangChain, LangGraph, Azure, Google Cloud, AWS, SQL, Spark, CI/CD, MLOps, LLMOps
1mo
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Principal Manager, Cloud Engineering
Cincinnati or United States
HybridFull Time
Promevo
Promevo: Private Google-focused IT services firm providing cloud consulting, implementation, support, hardware, and Workspace management software to organizations.
12+ YOE4+ MgmtBachelor's degree, 12+ years in IT/cloud engineering (4+ years managing teams). Deep GCP and AI/ML infrastructure expertise, PCA preferred, Kubernetes/GKE and Terraform experience, strong communication and strategic delivery skills.
Google Cloud Platform (GCP), Google Cloud, Google Workspace, Google Chrome, gPanel, Vertex AI, Vertex AI Pipelines, GKE, BigQuery, Dataflow, Pub/Sub, Terraform, Lattice, Paycor