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Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 53 countries. By uniting unique high-end technologies across the full digital continuum with 57,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Position Title: Gen AI Engineer

Location: Toronto, Ontario (Hybrid – Twice in a week)

Position Type: Full Time

Job Description

Generative AI Knowledge:

• Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.
• Preferred candidate 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.