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Role: Data AI Engineer
Location: Atlanta GA
Need Local Candidates
Data AI Engineer with hands-on experience in developing applications using Large Language Models (LLMs). Required to have a strong foundation in Python deep learning and data engineering with a focus on building and deploying AI solutions using modern frameworks and tools.
Key Responsibilities: Design develop and deploy LLM-powered applications using Python and frameworks such as the OpenAI SDK. Apply deep learning techniques with a strong emphasis on transformer architectures and modern neural network models. Implement best practices in LLMOps FMOps and GenAIOps for scalable and maintainable AI workflows. Perform data manipulation and analysis using tools like Pandas NumPy and Matplotlib. Build interactive AI-driven applications and dashboards using Streamlit. Collaborate with data engineering teams to ensure robust data pipelines and efficient model integration. Required Qualifications: Proven experience in developing AI/LLM applications using Python. Proficient in deep learning concepts especially transformer models (e.g. GPT BERT). Hands-on experience with the OpenAI SDK and similar LLM frameworks. Solid understanding of MLOps principles particularly related to LLMs (LLMOps/FMOps/GenAIOps). Strong Python programming and data analysis skills (Pandas NumPy Matplotlib). Familiarity with Streamlit for rapid prototyping and application deployment. Good grasp of data engineering fundamentals and tools.
Full-time