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Python Ml Developer Jobs in Ohio (NOW HIRING)

Python Developer - W2 Role

Columbus, OH

$47 - $64.75/hr

Python Developer - W2 Role Location: Columbus, OH (Onsite) * Proficiency in Python, with ... Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or ...

AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have ... Python (Expert level) * Machine Learning & Model Training * Training, evaluation, fine tuning

AI ML Engineer || Mason, OH / Woodland Hills, CA - Onsite|| Fulltime || 8 - 25 years of experience Must Have Technical/Functional Skills • Python (Expert level) • Machine Learning & Model ...

The ideal candidate should have expertise in Python, Prompt Engineering, RAG pipelines, Vector Databases, and production-grade AI/ML deployment. This role focuses on building scalable AI solutions ...

Sr AI/ML Engineer

Mason, OH · On-site

$150K/yr

The ideal candidate should have expertise in Python, Prompt Engineering, RAG pipelines, Vector Databases, and production-grade AI/ML deployment. This role focuses on building scalable AI solutions ...

LEAD ML ENGINEER

Cincinnati, OH · On-site

$98.40K - $129.60K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

Senior AI/ML Engineer

Mason, OH · On-site

$98.30K - $134.90K/yr

The candidate must have strong Python expertise and practical experience taking ML and GenAI use ... The engineer will work with both structured and unstructured data, building pipelines for document ...

AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional ... Python (Expert level) * Machine Learning & Model Training * Training, evaluation, fine tuning

LEAD ML ENGINEER

Cincinnati, OH · On-site

$120K - $140K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

AI/ML Engineer

Cincinnati, OH · On-site

$65 - $70/hr

Languages Python (required) SQL optional JavaScala ML MLOps MLflow (or equivalent), model registry ... DevOps Git, CICD, Docker Kubernetes, Terraform (optional) Cloud Azure, logging/monitoring ...

LEAD ML ENGINEER

Blue Ash, OH · On-site

$120K - $140K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

... DevOps GitHub Actions integrated with Databricks o Leverage MLflow (Databricks native) for ... Languages Python (required) SQL optional JavaScala MLMLOps MLflow (or equivalent), model registry ...

Senior AI/ML Engineer

Mason, OH · On-site

$120K - $130K/yr

... Python Developer with strong experience in FastAPI, LangChain, LangGraph, and OCR technologies (Tesseract). The role involves building scalable APIs, orchestrating LLM-based workflows, and ...

ML Engineer - MLops Sub Skill: MLOPS - Cloud (AWS/ GCP/ Azure) Type: Contract Location: Cincinnati ... Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools. Good Python ...

LEAD ML ENGINEER

Blue Ash, OH · On-site

$110K - $140K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

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Python Ml Developer information

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

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 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 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 May 2026, with employment types broken down into 1% Internship, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Python Developer - W2 Role

Python Developer - W2 Role

SVATS

Columbus, OH

$47 - $64.75/hr

Other

Posted 15 days ago


Job description

Role: Python Developer - W2 Role

Location: Columbus, OH (Onsite)

Job description

  • Proficiency in Python, with demonstrated experience building and maintaining backend services or APIs
  • Working knowledge of at least one additional programming language (e.g., JavaScript/TypeScript, Java, Go)
  • Experience with modern web frameworks (e.g., Django, Flask, FastAPI, React, Angular, or Vue)
  • Familiarity with RESTful API design, development, and integration
  • Understanding of front-end fundamentals (HTML, CSS, JavaScript) and responsive design principles
  • Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
  • Basic understanding of cloud platforms (e.g., AWS, Azure, or Google Cloud Platform) and deployment workflows
  • Exposure to version control systems, particularly Git, including branching and pull request workflows
  • Familiarity with Identity and Access Management (IAM) concepts (e.g., authentication, authorization, RBAC, OAuth, SSO)
  • Experience integrating or working with IAM tools or providers (e.g., Okta, Auth0, Azure AD) is preferred
  • Understanding of security best practices in web application development
  • Experience with containerization and/or orchestration tools (e.g., Docker, Kubernetes) is a plus
  • Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or experimentation
  • Familiarity with prompt design and basic evaluation of AI outputs
  • Familiarity with Linux/Unix environments for deploying and operating applications, including log monitoring, process/service management, basic troubleshooting, and writing simple scripts (e.g., Bash/Python) to automate routine tasks.
  • Strong problem-solving skills and ability to debug and troubleshoot across the stack
  • Ability to write clean, maintainable, and well-documented code
  • Effective communication skills and ability to collaborate in a team environment