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Python Ai Ml Jobs in Ohio (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 ...

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 ...

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Position Overview Altamira is seeking an AI/ML Engineer to support the design, development, and ... Python * C/C++ * Rust Altamira is an Equal Opportunity/Affirmative Action employer. All qualified ...

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Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What job categories do people searching Python Ai Ml jobs in Ohio look for? The top searched job categories for Python Ai Ml jobs in Ohio are:
What cities in Ohio are hiring for Python Ai Ml jobs? Cities in Ohio with the most Python Ai Ml job openings:
Infographic showing various Python Ai Ml job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Python AI Engineer

Other

Posted 6 days ago


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.