A leading trading firm in Montreal is looking for a Data Developer to join their AI and Multi Asset Systematic Strategies team. The role involves designing data pipelines for RAG systems and ensuring data is accessible for analytics and AI workloads. Candidates should have a Bachelor's or Master's degree in a related field, along with 2-5 years of experience building data systems, and strong proficiency in Python. This position offers a chance to work with innovative technologies in a dynamic work environment.
Qualifications
2-5 years building data systems and pipelines in production environments.
Strong experience with RAG architectures, including vector databases.
Familiarity with Docker, containerization, and orchestration platforms.
Responsibilities
Design and build data pipelines for RAG systems.
Build ingestion pipelines for structured and unstructured data sources.
Develop data processing workflows to prepare and optimize datasets.
Skills
Data systems and pipelines
RAG architectures
Python
Embedding models
Distributed data processing frameworks
Data engineering best practices
Education
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
Tools
Milvus
ChromaDB
Pinecone
Weaviate
Qdrant
Airflow
Dagster
Prefect
Apache Spark
Ray
Dask
Docker
Job description
A leading trading firm in Montreal is looking for a Data Developer to join their AI and Multi Asset Systematic Strategies team. The role involves designing data pipelines for RAG systems and ensuring data is accessible for analytics and AI workloads. Candidates should have a Bachelor's or Master's degree in a related field, along with 2-5 years of experience building data systems, and strong proficiency in Python. This position offers a chance to work with innovative technologies in a dynamic work environment.