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AI/ML Lead: Expert in RAG Model Development
1 month ago
Job Overview:
We are seeking a seasoned AI/ML expert to lead the development of Recurrent Attentive Graph (RAG) models. The ideal candidate should have profound knowledge of GPU optimization techniques and advanced machine learning methods. This role offers an exciting opportunity to work at the cutting edge of AI/ML and financial data analysis, helping to shape innovative data visualization solutions.
Key Responsibilities:
- Design, develop, and implement RAG models using advanced machine learning techniques.
- Deploy and optimize RAG models on GPU to achieve high-speed and efficient processing.
- Customize and fine-tune models to integrate and analyze financial data effectively.
- Work closely with the data science team to structure and prepare data inputs required for model development.
- Interpret model outputs and create insightful visualizations in the form of user-driven charts.
- Stay updated with the latest AI/ML advancements and apply them to enhance model performance.
Requirements:
- Demonstrated experience in AI/ML development with a focus on RAG models.
- Proficiency in Python and deep learning frameworks, particularly TensorFlow and PyTorch.
- Strong knowledge of GPU optimization techniques and parallel computing.
- Familiarity with financial data structures, analysis, and visualization tools.
- Excellent problem-solving skills, high attention to detail, and a proactive approach.
