Data Scientist - Toronto, Canada - NIIT Technologies

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 Retrievalaugmented generation (RAG)
• Experience with cloudbased 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 problemsolving skills and the ability to work in a collaborative team environment
• Excellent communication skills

• Dental care
• Paid time off
• Vision care

• 8 hour shift
• Monday to Friday

• Bonus pay

• Machine learning: 1 year (preferred)

• Toronto, ON M5A 1A1 (required)

• Toronto, ON M5A 1A1: Relocate before starting work (required)