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Python Ml Developer Jobs in Ohio (NOW HIRING)

84.51°

Lead AI/ML Engineer (P4645)

Cincinnati, OH · On-site

$98K - $129K/yr

RESPONSIBILITIES -Serve as a hands-on developer responsible for building and maintaining end-to-end ... Python -Deep proficiency in Python and fluency in NumPy, pandas, PySpark and at least 3 of the ...

Worldpay

ML Software Engineering Lead

Cincinnati, OH · On-site

$98K - $129K/yr

We are seeking an experienced and visionary ML Software Engineering Lead to serve as the technical ... DevOps best practices. * Strong Python skills, including in relevant libraries such as Pandas ...

UnivEdge Consulting LLC

AI/ML Architect or lead

Mason, OH · On-site

$59.75 - $77.75/hr

Senior AI/ML Engineer - GenAI & Cloud Solutions Key Responsibilities : * Architect and Design: Lead ... Programming: Advanced proficiency in Python; exposure to Java/Go is a plus. * Cloud Proficiency:

Worldpay

Senior ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

Strong Python programming and relevant ML/data libraries * Experience with containerization, orchestration, and AWS cloud services * Building and operating CI/CD pipelines * Monitoring ...

Photon

Senior Java Developer - GenAI

Columbus, OH · On-site

$53.50 - $68.25/hr

Senior Java Developer GenAI & Microservices We are looking for an experienced Java Developer with ... Work with Python for AI/ML integrations, automation, data processing, and GenAI application ...

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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.

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

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

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

Python Ml Developer jobs near you
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 AI Engineer

Unicorn Technologies LLC

Cleveland, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Python AI Engineer
Location: Cleveland, Ohio (Day1 Onsite) 

Note: We are looking to hire Python AI Engineer with Manufacturing Domain in Cleveland, Ohio, USA immediately who has experience in LLM, RAG, Agentic AI, AI Chatbot, Python and Azure 

Job Summary
  • We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI services.
  • The ideal candidate will design scalable and production-ready AI solutions that address diverse business requirements such as text generation, summarization, and sentiment analysis.

Key Responsibilities

  • Develop and maintain robust Python scripts to interact with Azure OpenAI APIs and related services.
  • Evaluate, select, and fine-tune Azure OpenAI models based on project-specific needs.
  • Design and implement AI solutions for multiple NLP tasks including text generation, summarization, and sentiment analysis.
  • Deploy, monitor, and optimize AI models in production environments.
  • Stay up to date with the latest advancements in AI, LLMs, and Azure AI ecosystem.
  • Utilize industry-standard libraries, frameworks, and tools to enhance development efficiency.
  • Ensure scalability and performance of AI applications to meet enterprise demands.
  • Collaborate and communicate complex AI concepts effectively with both technical and non-technical stakeholders.
  • Troubleshoot and resolve AI model development challenges, providing innovative and practical solutions. 

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 and APIs.
  • Solid understanding of MLOps concepts, version control, and CI/CD pipelines.
  • Familiarity with data preprocessing, prompt engineering, and performance tuning.
  • Excellent problem-solving and analytical skills.

Apply