Machine Learning Engineer
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**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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