Data Scientist
5 months ago
Title - Data Scientist
Location - Toronto, Canada
Hybrid Role
**Responsibilities**:
- 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
- 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)
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