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Senior Data Scientist - Gen AI & NLP

1 month ago
Canada
Full-time
Lead
AI Engineer
Data Science and Analytics
CI/CD Deep Learning GAN Generative AI Git Hugging Face LLM LSTM Machine Learning MLflow Python RNN SQL
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 87

Description

  • Work on data science applications to solve business problems.
  • Work directly with client stakeholders to translate business needs into analytics solution designs.
  • Present analytic solutions to business audiences and explain how they create business value.
  • Develop end-to-end solutions that are delivered efficiently, predictably, and sustainably.
  • Design and develop machine learning and Generative AI solutions using RAG.
  • Build LLM-powered applications using Azure OpenAI and orchestrate workflows with LangGraph.
  • Develop agentic AI workflows for automation, insight generation, and decision support.
  • Implement Document Intelligence solutions for extracting insights from unstructured data.
  • Participate in discussions to select analytic techniques and create actionable business insights.
  • Make presentations to senior management and help operationalize analytic solutions.

Requirements

  • 7+ years of experience working as a GenAI Data Scientist.
  • 5-10 years of professional work experience, including at least 5 years in Data Science.
  • Proficiency in Python and SQL.
  • Experience with MLflow and model lifecycle management.
  • Experience with Python from a functional programming paradigm, including dependency management, virtual environments, and git version control.
  • Strong understanding of generative AI concepts, including LLMs, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with sequential algorithms such as LSTM, RNN, and transformers.
  • Experience with Bedrock, JumpStart, and HuggingFace.
  • Experience evaluating ethical implications of AI and applying controls such as red-teaming.
  • Expertise in supervised learning, unsupervised learning, deep learning, and transfer learning.
  • Experience with generative algorithms such as GANs and VAEs, as well as pre-trained models such as LLaMa and SAM.
  • Experience developing models from inception to deployment.
  • Experience building end-to-end ML pipelines in production.
  • Familiarity with CI/CD pipelines, monitoring, and model governance.
  • Ability to design scalable and reliable AI systems.
  • Bachelor's degree in Business Analytics or equivalent work experience.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
  • High degree of individual responsibility.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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