Senior Data Scientist - Gen AI & NLP
New
T
Tiger Analytics Inc.Advanced Analytics Consulting
CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLGitMLFlowCI/CDDeep Learning
Requirements
- 7+ years of experience working as a GenAI Data Science
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
- Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
- Experience with Bedrock, JumpStart, HuggingFace
- Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
- Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
- Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
- 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 in Business Analytics or equivalent work experience
Responsibilities
- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
- Design and develop machine learning and Generative AI solutions using RAG
- Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
- Develop agentic AI workflows for automation, insights generation, and decision support
- Implement Document Intelligence solutions for extracting insights from unstructured data
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Make presentations to senior management, communicate results to business teams, and develop plans to help operationalize analytic solutions
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