Data Scientist – GenAI & RAG Systems

Diverse Lynx; Mississauga; Hybrid; CAD 85,000 - 120,000; Full time

Job summary

A leading company is seeking a skilled Data Scientist to enhance AI solutions through the development of Retrieval-Augmented Generation systems. The successful candidate will leverage modern frameworks and tools to drive innovation and achieve impactful business results. Responsibilities include designing AI systems, collaborating with teams, and ensuring model performance. This hybrid role is ideal for an expert with a robust programming background in Python and experience in AWS technologies.

Qualifications

• 6-10 years of experience in data science and AI.
• Strong programming ability in Python.
• Hands-on expertise in AWS services and LLMs.

Responsibilities

• Design and deploy RAG-based GenAI systems.
• Build and maintain Flask-based APIs for AI models.
• Monitor model performance and implement improvements.

Skills

Python

Flask

RESTful API

Large Language Models (LLMs)

GenAI frameworks

AWS Bedrock

RAG architecture

MLOps practices

Problem-solving

Education

AWS Certified Developer – Associate

Python Institute Certified Professional

Tools

AWS AI/ML services

LangChain

Pinecone

Weaviate

Job description

Job Title: Data Scientist – GenAI & RAG Systems

Experience: 6–10 Years

Location: Hybrid (Mississauga, ON)

Shift: Day Shift

Travel: None

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Job Summary

We are seeking a highly skilled and motivated Data Scientist to join our AI & Analytics (AIA) team. The ideal candidate will have deep expertise in developing and deploying GenAI solutions, particularly Retrieval-Augmented Generation (RAG) systems, using modern frameworks and cloud-native tools. This role is pivotal in driving innovation and delivering scalable AI solutions that enhance business outcomes.

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Key Responsibilities

• Design, develop, and deploy RAG-based GenAI systems using LLMs and vector databases.

• Build and maintain Flask-based APIs to serve AI models and integrate with enterprise applications.

• Leverage AWS Bedrock to fine-tune and deploy foundation models securely and efficiently.

• Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.

• Conduct data exploration, preprocessing, and feature engineering to support model development.

• Monitor model performance and implement continuous improvement strategies.

• Document technical workflows and contribute to knowledge sharing within the team.

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Required Skills

• Strong programming skills in Python, with experience in Flask and RESTful API development.

• Hands-on experience with Large Language Models (LLMs) and GenAI frameworks.

• Proficiency in AWS Bedrock and other AWS AI/ML services.

• Solid understanding of RAG architecture, vector search, and embedding techniques.

• Familiarity with MLOps practices and tools for model deployment and monitoring.

• Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

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Preferred Qualifications

• Experience with LangChain, Pinecone, Weaviate, or similar vector databases.

• Exposure to data visualization tools like Power BI or Streamlit.

• Knowledge of prompt engineering and fine-tuning techniques for LLMs.

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Certifications

• AWS Certified Developer – Associate

• Python Institute Certified Professional

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.