Senior Data Scientist
AI Summary
Advanced LLM Development:Implement and enhance Large Language Models using techniques like Retrieval-Augmented Generation (RAG) for improved context understanding and response generationContinuously refine and fine-tune AI models to cater to specific use cases and improve overall performanceAI Ops and Toolchain Optimization:Manage AI operations to ensure efficient deployment and maintenance of AI models.Optimize AI toolchains for streamlined development, testing, and deployment of AI solutions.C
About this role
Advanced LLM Development:
Implement and enhance Large Language Models using techniques like Retrieval-Augmented Generation (RAG) for improved context understanding and response generation
Continuously refine and fine-tune AI models to cater to specific use cases and improve overall performance
AI Ops and Toolchain Optimization:
Manage AI operations to ensure efficient deployment and maintenance of AI models.
Optimize AI toolchains for streamlined development, testing, and deployment of AI solutions.
Comprehensive Model Evaluation:
Develop and implement robust model evaluation frameworks to assess model performance, accuracy, and reliability.
Conduct thorough testing and validation of AI models to ensure they meet high-quality standards.
Data Analysis and Algorithm Development:
Analyze vast datasets to extract meaningful insights and inform model improvements.
Create and implement advanced machine learning algorithms tailored to specific AI applications.
Cross-Functional Collaboration:
Collaborate with various teams to integrate AI technologies into diverse products and services.
Lead innovation initiatives and contribute to the company's AI strategy and vision.
Documentation and Knowledge Sharing:
Maintain comprehensive documentation of methodologies, experiments, and findings.
Share knowledge and insights with team members and stakeholders, ensuring transparency and collaborative growth.
Requirements
PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
6+ years of industry experience.
Extensive experience with Large Language Models, including RAG and fine-tuning techniques.
In-depth knowledge of AI Ops, AI toolchains, and model evaluation methods.
Proficient in machine learning, deep learning, and statistical modeling.
Strong programming skills in Python, R, or similar languages.
Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and cloud-based AI services.
