Responsibilities
- Lead the end-to-end design of highly-available, low-latency machine learning applications.
- Actively contribute to the Python codebase.
- Synchronize efforts across Data Science and Data Engineering teams to ensure solutions are production-ready.
- Leverage agents and automation to design systems capable of self-evaluation and optimizing recurring workflows.
- Bridge the gap between technical strategy and execution.
- Ensure consistency of technology standards across the entire organization.
Tech Stack
Python, SQL, Spark, PySpark, Snowflake, SnowPark, Splunk, AWS (EKS, SageMaker, Bedrock, DynamoDB, Kinesis, RedShift, Lambda), Kubernetes, Docker, GitLab, Dataiku, Tableau
Work Arrangement
Remote (Worldwide)
Additional Information
- Language requirements: Bilingual (French and English) — the posting includes both French and English versions.
- The company may use AI-assisted tools to help screen and assess applicants.
- Accommodation is available upon request for candidates.
- This posting is for an existing vacancy.
