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Tensorflow Engineer Jobs in Ohio (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · On-site +1

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Flexjet

AI Engineer

Cleveland, OH

... g., TensorFlow, PyTorch, scikit-learn) Solid understanding of algorithms, data structures, and software engineering principles Experience with data processing tools (e.g., Pandas, NumPy, SQL ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • Experience with data processing tools (e.g., Pandas, NumPy ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... TensorFlow, PyTorch, scikit-learn) · Solid understanding of algorithms, data structures, and software engineering principles · Experience with data processing tools (e.g., Pandas, NumPy, SQL) · ...

Tata Consultancy Services

$109K - $131K/yr

... TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data ... engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data ... engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • Experience with data processing tools (e.g., Pandas, NumPy ...

GRVTY

Software Engineer

Dayton, OH · On-site

Join GRVTY's mission-focused team as a Software Engineer advancing data processing and analytic ... Experience with AI/ML frameworks (TensorFlow, PyTorch). Exposure to geospatial tools (e.g., GDAL ...

Adbakx LLC

Python AI Engineer

Cleveland, OH · On-site

Required Skills and Experience Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). Hands-on experience with Azure OpenAI models ...

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Tensorflow Engineer information

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$89.4K

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How much do tensorflow engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for tensorflow engineer in Ohio is $89,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $103,200.00 per year, depending on experience, location, and employer.
What cities in Ohio are hiring for Tensorflow Engineer jobs? Cities in Ohio with the most Tensorflow Engineer job openings:
Tensorflow Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Dayton, OH • On-site, Remote

Full-time

Posted 6 days ago

Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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