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Senior Data Scientist - GenAI

Posted 2024-11-18

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💎 Seniority level: Senior, 5+ years

📍 Location: Canada

🔍 Industry: Advanced analytics and consulting

🏢 Company: Tiger Analytics

⏳ Experience: 5+ years

Requirements:
  • 5+ years of experience as a GenAI Data Scientist.
  • Expertise in Python, including managing dependencies and virtual environments.
  • Experience with sequential algorithms (LSTM, RNN, transformer, etc.).
  • Familiarity with Bedrock, JumpStart, HuggingFace.
  • Evaluation of ethical implications of AI technologies.
  • Proficiency in supervised, unsupervised, deep, and transfer learning.
  • Experience with generative algorithms (e.g., GAN, VAE) and pre-trained models (e.g., LLaMa, SAM).
  • Ability to develop models from inception to deployment.
Responsibilities:
  • Collaborate with business partners to develop innovative solutions using advanced techniques and tools.
  • Experiment and create generative AI products for various tasks.
  • Fine tune models and use advanced methods to enhance performance on specific tasks.
  • Evaluate models and implement necessary improvements.
  • Work with data engineers and product owners to develop AI products.
  • Engineer features by combining diverse data sources.
  • Engage with the broader enterprise community to develop processes and standards.
  • Collaborate and learn with a team of experienced Data Scientists.
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Related Jobs

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🔥 Senior Data Scientist - GenAI
Posted 2024-11-18

📍 United States

🔍 Advanced analytics consulting

🏢 Company: Tiger Analytics

  • 5+ years of experience working as a GenAI Data Scientist.
  • Experience with Python from a functional programming paradigm, including managing dependencies and virtual environments.
  • Proficient in version control with git.
  • Experience with sequential algorithms such as LSTM, RNN, transformers.
  • Familiar with Bedrock, JumpStart, HuggingFace.
  • Ability to evaluate ethical implications of AI and engage in red-teaming.
  • Expertise in supervised learning, unsupervised learning, deep learning, and transfer learning.
  • Experience in generative algorithms including GAN, VAE, and using pre-trained models like LLaMa, SAM.
  • Experience in developing models from inception to deployment.

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Experiment, evaluate, and create generative AI products for tasks such as data extraction and document summarization.
  • Use fine tuning and advanced knowledge retrieval methods to improve model performance.
  • Evaluate model performance and implement necessary improvements.
  • Collaborate with scientists, data engineers, and product owners.
  • Engineer features using business acumen to combine data sources.
  • Share Data Science knowledge with the enterprise community.
  • Collaborate, coach, and learn with a growing team of Data Scientists.
  • Stay connected with external ideas through conferences and community engagements.
Posted 2024-11-18
Apply

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