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Python Ml Developer Jobs in Willoughby, OH (NOW HIRING)

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 ...

Engineer

Cleveland, OH ยท On-site

$90K - $120K/yr

AI Developer Must-Have 1. Generative AI / LLMs 2. Python Programming 3. Prompt Engineering 4. RAG Architecture 5. AI/ML Concepts 6. REST APIs 7. SQL 8. Cloud Platforms (AWS/Azure) 9. Git, CI/CD 10. ...

Lead Data Scientist

Euclid, OH ยท On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

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How much do python ml developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for python ml developer in Willoughby, OH is $54.54, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $61.97 per hour, depending on experience, location, and employer.

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 job categories do people searching Python Ml Developer jobs in Willoughby, OH look for? The top searched job categories for Python Ml Developer jobs in Willoughby, OH are:
What cities near Willoughby, OH are hiring for Python Ml Developer jobs? Cities near Willoughby, OH with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Willoughby, OH as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 2% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $113,453 per year, or $54.5 per hour.
Python AI Engineer

Python AI Engineer

Adbakx LLC

Cleveland, OH โ€ข On-site

Other

Posted 19 days ago


Job description

Role: Python AI Engineer
Location: Cleveland, Ohio (Onsite)
Note: Mandatory skills are 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.