DATA ENGINEER
Role summary
Atos Group is seeking a Generative AI Data Engineer in Toronto, Canada, for a full-time role. The position focuses on leveraging generative AI and large language models to solve business problems. Responsibilities include designing and implementing data processing pipelines, building microservice architectures for GenAI solutions, and managing releases using CI/CD pipelines on Azure. The role requires proficiency in Python, SQL, and Azure cloud services like Databricks and Data Factory. Experience with LLMOps and RAG patterns is highly desirable. Strong communication and collaboration skills are essential for working with multi-functional teams.
About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Generative AI Data Engineer
Company
Atos
Location
Toronto ,Canada
Job Type
Fulltime
Salary
100k-110k CAD
Generative AI Knowledge
Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.
Skills
Release & Deployment,MS Azure DevOps Services,Microservices,MS Azure Cloud Services,Large Language Model Ops (LLMOps),Generative AI, Preferred candidates must have experience in data indexing, chunking and optimizing RAG patterns.
Release Management
Experience with scaled-up release management for AI applications using CICD pipelines for automated testing and deployment
Technical skills
Experience with Azure cloud environment with Databricks, Data Factory, Storage account, Proficiency in Python programming & SQL
Microservice Architecture
Experience in building microservice-based architecture for GenAI solutions.
Data Processing
Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.
Azure Expertise
Expert knowledge in full stack Azure development, including experience with Azure cloud platforms in the context of GenAI solution development and deployment, and familiarity with common tools in data science.
Platform Experience
Nice to have knowledge of optimizing model performance and ensuring scalability to handle expected workloads. Familiarity with LLM models deployment in the cloud environment. Ability to set up monitoring for model performance, including metrics like accuracy, latency, and throughput.
Communication and Collaboration
Strong communication and ability to effectively collaborate with multi-functional teams and partners.
Motivation and Results-Driven
Highly motivated and results-driven, comfortable in handling changes, and delivering results in complex situations.
#ATOS
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