Job Description

:

Are you a person with passion for AI? Are you interested in working in a multilingual, dynamic and friendly environment that encourages personal and professional development? We would love to meet you!


As a Data Scientist, you will be playing a key role in the development and maintenance of AI capabilities in the company. This includes active participation in technical delivery and support of AI use cases, as well as the oversight of the enterprise AI platforms. Responsibilities also include working in close collaboration with our AI Technical Lead and the AI team who are responsible for the overall technical delivery of the AI program.

What does your typical day look like?

Contribute significantly to data science projects by supporting the entire lifecycle of use cases; Act as a SME on the most recent GenAI/Agentic AI capabilities and best practices; Support the AI Technical Team to define the use case requirements, project plans, processes, dependencies, and complexity estimates; Deliver ad hoc data science and AI engineering tasks; Process the end-user feedback, handle the post-deployment issues, and implement the necessary use-case improvements. Rare off-hours incident management might be necessary; Manage the post-deployment AI operations and use case reporting; Assist in the setup, administration, and continuous improvement of AI platform capabilities and tooling; Assist in the AI platform configuration for specific AI use cases and business needs, and help the end users in their platform operations.

What skills and experience are we looking for?

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering or a related field; a Master's degree would be considered an asset; 2+ years experience in machine learning, LLM use cases, AIOps, analytics, data science, or similar roles; Experience in post-deployment support and continuous improvement for AI and analytics use cases; Familiarity with any domains such as AI engineering, model lifecycle, Lean/Agile, MLOps/LLMOps, data management, responsible AI, and AI governance is an asset; Hands-on experience working with GenAI use cases, AI agents, LangChain, Hugging Face, PyTorch or TensorFlow, MLFlow is a strong asset; Experience using AI and data platforms and services like Snowflake Cortex, Dataiku, Azure OpenAI, Google Vertex AI, AWS Bedrock, etc. is preferable; Strong interpersonal, teamworking, and communication skills.

When you apply:

If you require assistance or accommodation during our recruitment process, please notify Human Resources so that we can review and consider how we may be able to assist you based on your individual needs.




We offer you:
Global Excel offers more than a position; We offer a professional future with a competitive compensation including base salary, performance bonus and benefits; Please reach out to your local HR department if you would like to know more about benefits offered in your site.

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