Senior Data Scientist

Job Summary:

Zscaler is seeking an experienced and innovative Data Scientist specializing in Generative AI to join our dynamic team. The ideal candidate will possess in-depth knowledge and practical experience with Large Language Models (LLMs), AI operations (AI Ops), AI toolchains, Retrieval-Augmented Generation (RAG), fine-tuning techniques, and model evaluation methodologies. You will play a crucial role in advancing our AI-driven products and services, leveraging cutting-edge AI technologies to drive forward-thinking solutions and advancements.

• Be a part of a startup team in the company, working on creating a new product.
• Engage in the development of state-of-the-art Gen AI technology

Key Responsibilities:

• 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.

Personal Attributes:

• Exceptional analytical and problem-solving skills.
• Effective communication and collaboration abilities.
• Adaptable to rapidly changing technologies and environments.
• Deep passion for AI research and continuous learning.

Qualifications:

• 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.
• US resident.