Job Summary
Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Responsibilities
As a Machine Learning engineer, you’ll work on data ingestion and processing using various Natural Language Processing (NLP) tools. You will also work on building AI agents, fine-tunning LLMs, and building chatbots. Key responsibilities include:
- Design, build, and maintain AI Agents using Langchain and other similar tools.
- Fine-tune and test LLMs on various verticals explored by Qorsa.
- Develop and deploy applications using Docker and Kubernetes.
- Improve on our existing technologies including data processing, natural language pipelines, and building knowledge graphs
Experience
- Advanced proficiency in Python
- Experienced in using Langchain to build RAG applications.
- Understanding of key python machine learning libraries including Tensorflow, Pytorch, and HuggingFace
- Solid understanding of Docker, containerization, and Kubernetes
- Strong understanding of secure coding practices
- Proficiency with Git version control and collaborative development workflows
- Familiarity with SQL and Neo4j Cypher
- Experience with RESTful APIs, and asynchronous data flows.
Valuable Skills:
- Bachelor's Degree in Computer Science, Software Engineering, or related area
- Knowledge of Neo4j and graph database structures
- Hands-on experience deploying to and managing cloud-native environments, particularly GCP
- Solid understanding of algorithms and data structures
- Experience working with Linux environments
Job Types: Full-time, Permanent
Pay: From $100,000.00 per year
Benefits:
- Dental care
- Disability insurance
- Extended health care
- Life insurance
- On-site parking
- Paid time off
- Vision care
Education:
- Bachelor's Degree (preferred)
Work Location: In person
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