AI/ML Engineer: Snowflake & Databricks for Enterprise Data

Accenture PLC

Montreal

On-site

CAD 44,000 - 74,000

Full time

2 days ago
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Job summary

Accenture PLC in Montreal is hiring a Data & AI Consultant to design, build and operationalize enterprise-grade data and agentic AI solutions on Snowflake AI Data Cloud and/or Databricks and Azure Data Services.

The role covers the full lifecycle from assessing client needs to production, including model selection (Deep Learning, Generative AI, LLMs) and scalable data pipelines with DevOps & MLOps. English proficiency is required for multinational teams.

Qualifications

  • Bachelor's degree in Computer Science or related field required.
  • Minimum 2 years of Snowflake and/or Azure Data Service/Databricks experience with data pipelines (ETL/ELT).
  • Minimum 1 year integrating AI agents with enterprise systems via MCP connectors, REST APIs, and event-driven messaging.
  • Minimum 2 years in distributed computing systems and architecture (big data, HPC, cloud).
  • Strong command of Python and advanced SQL.
  • English required for multinational teams.

Responsibilities

  • Formulate real-world problems into scalable AI & Data solutions.
  • Develop machine learning models and data pipelines with DevOps & MLOps.
  • Build AI-ready data products with clear ownership and data quality SLAs.
  • Engage in R&D of AI algorithms and simulations for client use.
  • Work with Snowflake/Databricks data preprocessing for training and production.
  • Implement and maintain efficient storage and retrieval for models and knowledge.
  • Collaborate with business and technical teams to achieve end-to-end goals.

Skills

Python
SQL
English
MCP connectors
REST APIs
ETL/ELT
DevOps & MLOps
Snowflake
Azure Databricks
Distributed computing

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow
PyTorch
LLMs APIs

Job description

Accenture PLC in Montreal is hiring a Data & AI Consultant to design, build and operationalize enterprise-grade data and agentic AI solutions on Snowflake AI Data Cloud and/or Databricks and Azure Data Services.

The role covers the full lifecycle from assessing client needs to production, including model selection (Deep Learning, Generative AI, LLMs) and scalable data pipelines with DevOps & MLOps. English proficiency is required for multinational teams.

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