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Data Science Generative AI and Data Engineering

  • Toronto, ON, Canada

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Original job description

Job Title: Data Science Generative AI and Data Engineering

Location: Toronto, ON (Hybrid)

Type: Contract

Job description

  • We are looking for a senior consultant with 12 years of experience in Data Science, Generative AI, and Data Engineering

Key Skills

  • Strong experience in Generative AI, RAG (Retrieval-Augmented Generation LLMs and AI application development
  • Solid background in Data Engineering, including large-scale data pipelines, ETL/ELT processes, and cloud data platforms
  • Experience with Python, SQL, vector databases, embeddings, and AIML frameworks
  • Ability to work across solution design, architecture, development, and deployment of AI-driven products

Skills

Mandatory Skills: AI/Generative AI

Good to Have Skills: Blueverse-Machine Learning

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

More about this job

Responsibilities

Design, architect, develop, and deploy AI-driven products using Generative AI, RAG, and large language models. Build and support large-scale data pipelines and ETL/ELT processes on cloud data platforms.

Requirements

The role seeks a senior consultant with 12 years of experience in Data Science, Generative AI, and Data Engineering. Candidates should have experience with Python, SQL, vector databases, embeddings, AI/ML frameworks, and end-to-end development of AI applications.

Skills

  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Large Language Models (LLMs)
  • AI Application Development
  • Data Engineering
  • Data Pipelines
  • ETL/ELT
  • Cloud Data Platforms
  • Python
  • SQL
  • Vector Databases
  • Embeddings
  • AI/ML Frameworks
  • Solution Design
  • Architecture
  • Deployment

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Science & Research
  • Consulting

Keywords

  • Data Science
  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Large Language Models (LLMs)
  • AI Application Development
  • Data Engineering
  • Large-Scale Data Pipelines
  • ETL/ELT
  • Cloud Data Platforms
  • Python
  • SQL
  • Vector Databases
  • Embeddings
  • AI/ML Frameworks
  • Machine Learning
  • Solution Design
  • Architecture
  • Development
  • Deployment
  • AI-Driven Products
  • Blueverse

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