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Python Ml Developer Jobs in Ohio (NOW HIRING)

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

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 ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

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 ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH

$107K - $129K/yr

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 ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

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 ...

Essilor

Data & ML Engineer

Mason, OH

$107K - $129K/yr

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 ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · On-site +1

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

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.

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

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.

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML ... Experience with Python-based ML frameworks such as PyTorch or TensorFlow * Experience demonstrating ...

Booz Allen Hamilton

AI/ML Engineer, Mid

Dayton, OH

$77K - $176K/yr

AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML ... Experience with Python-based ML frameworks such as PyTorch or TensorFlow * Experiencedemonstrating ...

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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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Ohio? For Python Ml Developer jobs in Ohio, the most frequently searched job titles are:
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:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Ohio as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Software engineer AI/ML & DevOps- Columbus, OH / Naveen

Software engineer AI/ML & DevOps- Columbus, OH / Naveen

Ampcus Inc

Columbus, OH • On-site

$49.25 - $67.50/hr

Other

Posted 7 days ago

Job description

Title : Software engineer AI/ML & DevOps

W2 Only

Location: Columbus, OH 43240

Onsite

Type: Contract to hire

education: bachelor degree

MUST have skills:

  • AI/ML
  • Python
  • GitOps
  • Kubernetes
  • Python - ops tooling
  • AWS - ECR ECS, EKS
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Design and develop a scalable ML platform to support model training, deployment, and monitoring
  • Build and maintain infrastructure for automated ML pipelines, ensuring reliability and reproducibility supporting different model frameworks and architectures
  • Set up monitoring and reliability for both infrastructure and models utilizing Prometheus and Grafana
  • Code infrastructure with Terraform and utilizing Python for automation
  • Perform DevOps in Kubernetes (K8s), Docker, Helm, GitOps, and CI/CD pipelines (Jenkins, GitLab CI)
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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