1

Python Llm Jobs in Ohio (NOW HIRING)

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 ...

Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/LangGraph ... Required Skills: * Strong Python development experience. * Hands-on expertise in LangChain ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

Senior AI Engineer

Mason, OH · On-site

$98K - $134K/yr

This role is responsible for the end-to-end development of intelligent solutions, leveraging Python and modern LLM frameworks. Responsibilities : • Architect and deliver end-to-end LLM-powered ...

... LLM) solutions, and cloud-native ML platforms while partnering closely with Data Science teams and business stakeholders. The ideal candidate is a hands-on engineer with strong Python expertise ...

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

next page

Showing results 1-20

Python Llm information

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in Ohio? The most popular types of Python Llm jobs in Ohio are:
What cities in Ohio are hiring for Python Llm jobs? Cities in Ohio with the most Python Llm job openings:

Python AI Engineer

Adbakx LLC

Cleveland, OH • 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.