Python OPEN AI Engineer

Job Description:
Role: Python AI Engineer
Location: Cleveland, Ohio, USA.
Below skills mandatory

• LLM
• RAG (Retrieval Augmented Generation)
• Agentic AI
• AI Chatbot
• Python
• 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

TekisHub, an EEO Employer

We value diversity and are dedicated to fostering an inclusive workplace of Equal Employment Opportunity where everyone is empowered to succeed. All employment decisions are based on qualifications, merit, and business needs.