Title – Data Scientist
Location - Toronto, Canada
Hybrid Role
Responsibilities:
Reporting to the team lead of Adaptive Intelligence, this role will focus on designing, implementing, and optimizing vector databases, with a strong focus on utilizing ChromaDB/Pinecone/FAISS for vector applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships and vectors related to Large Language Models (LLMs).
Job Description:
· 3+ years relevant industry experience in deploying database engineering solutions
· Bachelors or Masters in Software Engineering, Computer Science, Computer Engineering or relevant statistical discipline
· Knowledge of distributed database systems
· Work collaboratively with other AI and IT teams within Munich Re on joint problems
· Familiarity with machine learning and AI concepts related to vector data like Retrieval-augmented generation (RAG)
· Experience with cloud-based database solutions especially in Azure but similar experience with AWS or Google is welcomed
· Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
· Proven experience in designing and implementing vector databases, with a focus on ChromaDB/Pinecone/FAISS etc for vector applications
· Strong proficiency in embedding, vectorization, vector stores, database optimization, performance tuning, and relevant query languages
· Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs
· Experience with LLM and other related frameworks like Langchain, LLamaCPP etc
· Extensive programming experience with relevant programming languages, such as Python, Java, or Scala
· Foundational understanding in any of the following: Natural Language Processing, Computer Vision, Machine Learning or Deep Learning
· Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
· Excellent problem-solving skills and the ability to work in a collaborative team environment
· Excellent communication skills
Job Types: Full-time, Permanent
Salary: $66,203.46-$126,885.66 per year
Benefits:
• Dental care
• Paid time off
• Vision care
Schedule:
• 8 hour shift
• Monday to Friday
Supplemental pay types:
• Bonus pay
Experience:
• Machine learning: 1 year (preferred)
Ability to Commute:
• Toronto, ON M5A 1A1 (required)
Ability to Relocate:
• Toronto, ON M5A 1A1: Relocate before starting work (required
