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Python Ml Developer Jobs in Ohio (NOW HIRING)

Job Title: ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR ... The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and ...

Feature Engineering auf Basis von Materialzusammensetzung und Prozessparametern * Untersuchung von ... Gute Kenntnisse in: Python ML Frameworks (z. B. scikit-learn, PyTorch oder TensorFlow ...

New

ML Engineering role focused on building AI solutions and integrating them into the existing ... Strong Python experience (must-have). * Experience with cloud infrastructure (must-have). * Ability ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

  • Medical

  • Retirement

  • PTO

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

... Python and AI/ML. The role focuses on leveraging Microsoft Azure data services to build and ... Git, Azure DevOps) • Strong understanding of data architecture, performance tuning, and ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Senior AI/ML Engineer As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer ... Apply modern software engineering patterns, including Python, Java, Scala, Rust, microservices, and ...

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern sof tware engineering patterns, including Python, Java, Scala, and Rus t, microservices, and distributed systems, as consistent with Booz Allen's AI / ML engineering frameworks.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.

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Showing results 1-20

Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Ohio look for?

The top searched job categories for Python Ml Developer jobs in Ohio are:

What cities in Ohio are hiring for Python Ml Developer jobs?

Cities in Ohio with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Python Developer / AI Software Engineer

Staffingine LLC

Cincinnati, OH • On-site

$48.25 - $66.50/hr

Contractor

Re-posted 8 days ago


Job description

Job Title: Python Developer / AI Software Engineer
Job Location: Cincinnati, OH
Job Type: Contract

Job Description:

  • Design, build, and maintain agentic workflows and autonomous AI systems.
  • Develop and integrate AI/ML models (including LLMs) into scalable, production-grade applications.
  • Partner with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
  • Implement orchestration logic for multi-agent systems using frameworks like LangChain, AutoGen, or CrewAI.
  • Write clean, maintainable, and well-documented Python code following industry best practices.
  • Optimize AI system performance, reliability, and scalability in production environments.
  • Stay informed about emerging AI/ML technologies, architectures, and best practices to ensure solutions remain cutting-edge.

Required Skills & Qualifications

  • Experience: 5–15 years of relevant software engineering experience with at least 3 years in AI/ML-focused development.
  • Programming Expertise: Strong proficiency in Python with experience in JupyterHub, GitHub, and Visual Studio.
  • AI/ML Knowledge: Solid understanding of AI/ML concepts, including LLMs, prompt engineering, and agentic architectures.
  • Cloud Expertise: Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, etc.).
  • DevOps Skills: Knowledge of Terraform, CI/CD pipelines, containerization (Docker, Kubernetes).
  • Agentic Systems: Exposure to building and deploying agentic or multi-agent workflows.
  • Frameworks: Familiarity with orchestration tools such as LangChain, AutoGen, CrewAI, or similar.
  • Soft Skills: Excellent problem-solving, communication, and collaboration skills.
  • Education: Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.

Preferred / Nice-to-Have Skills

  • Experience with Azure or Google Cloud AI services.
  • Understanding of AI ethics, risk mitigation, hallucination handling, and bias reduction.
  • Experience building prototype-level data pipelines for AI training and evaluation.