Senior Data Scientist Generative AI Applications

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Senior Data Scientist Generative AI Applications

Location: Canada (100% Remote, EST Hours)

Mandatory: Coding Test

About The Role

We are seeking an experienced Senior Data Scientist to join our Generative AI Applications team. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage Natural Language Processing (NLP) techniques and Large Language Models (LLMs). You will help build next-generation AI-driven products such as conversational search interfaces, chatbots, text summarizers, recommender engines, and more and bring them to production at scale.

As a senior member of the team, you will also mentor junior data professionals and collaborate closely with Product Managers, Machine Learning Engineers, and Cloud Platform Engineers to architect, develop, and operationalize production-grade algorithms.

Key Responsibilities

• Architecture & Development: Design and implement frameworks and infrastructure for Generative AI products (search interfaces, bots, summarizers, etc.). Optimize model performance to meet product objectives.
• Stakeholder Collaboration: Partner with Product Management and Engineering to align on technical roadmaps and guide teams in effectively leveraging LLM capabilities.
• Fairness & Safety: Establish protocols for building fair, accountable, and transparent LLM-based applications. Lead efforts to assess and mitigate risks due to model biases or failures.
• Monitoring & Feedback: Implement robust feedback pipelines, monitoring systems, and correction mechanisms to ensure model safety and reliability.
• Data Strategy: Oversee curation of high-quality datasets for LLM training. Build reusable data science pipelines, including feature generation, visualization, model evaluation, and documentation.
• Research & Innovation: Evaluate new AI/ML technologies and tools. Contribute novel research and analyses to leading academic venues. Proactively analyze LLM developments to improve model understanding and training.
• Mentorship: Guide and mentor junior data scientists and machine learning engineers in state-of-the-art Generative AI methods.
• Technical Leadership: Set the technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations.

Required Skills & Qualifications

• Education: Advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or equivalent technical discipline.

• Experience:

• Minimum 9 years combined post-secondary education or relevant work experience.

• 3+ years developing machine learning models with demonstrable business impact.

• 5+ years coding experience with Python.

• 3+ years building production NLP and deep learning models (PyTorch/TensorFlow) and working with large language model architectures (e.g., BERT, GPT-3).

• Technical Expertise:

• Experience with advanced workflows such as Retrieval-Augmented Generation (RAG), model chaining, dynamic prompting, PEFT/SFT, etc., using LangChain or similar tools.

• Proven ability to establish model guardrails and develop bias detection/mitigation techniques.

• Proficiency in prompting techniques and understanding of trade-offs between prompting and fine-tuning.

• Experience fine-tuning embedding models and tuning vector databases for semantic search and retrieval systems.

• Deep understanding of Transformer architectures and self-attention mechanisms underlying LLMs.

• Hands-on experience with cloud platforms (AWS preferred).

• Operationalizing end-to-end machine learning applications at scale.