DATA ENGINEER
Job Description
Job Details
Company: Atos
Location: Toronto, Canada
Job Type: Fulltime
Generative AI Knowledge: Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.
Required Skills & Experience
- Release & Deployment: Experience with scaled‑up release management for AI applications using CICD pipelines for automated testing and deployment.
- Azure Expertise: Experience with Azure cloud environment including Databricks, Data Factory, Storage account; proficiency in Python programming & SQL; full stack Azure development; familiarity with common data science tools.
- Microservice Architecture: Experience in building microservice‑based architecture for GenAI solutions.
- Data Processing: Experience working with large‑scale data sources in complex environments and implementing scalable and efficient data processing pipelines.
- Platform Experience: Knowledge of optimizing model performance and ensuring scalability; familiarity with LLM model deployment in the cloud; ability to set up monitoring for model performance, including accuracy, latency, and throughput.
- Communication & Collaboration: Strong communication and ability to effectively collaborate with multi‑functional teams and partners.
- Motivation & Results‑Driven: Highly motivated and results‑driven, comfortable handling changes and delivering results in complex situations.
Preferred Knowledge
- Release & Deployment, MS Azure DevOps Services, Microservices, MS Azure Cloud Services, Large Language Model Ops (LLMOps), Generative AI.
- Experience in data indexing, chunking and optimizing RAG patterns.
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How to Apply
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Frequently Asked Questions
Who is hiring?▼
This role is with Atos SE in Toronto.
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This appears to be an on-site role in Toronto.
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