Job Description **Must have professional experience with LLMs**

We are a product based software company that has created a cloud solution to help manufacturers and distributors automate process orders and invoices they receive from their customers and suppliers. We are also a top player in this industry, processing billions of dollars in transactions that are automatically processed by our solutions.

We are looking for a Senior Data Scientist to add to our growing team! In this role you'll be doing end to end AI, with a slight focus more on the modelling and data science side. The ideal candidate will have a strong background in both data science and Machine learning/MLOps, with proficiency in Python, SQL, and machine learning frameworks like TensorFlow and PyTorch. Lastly, we are looking for someone with experience with LLM's specifically for this role. Someone with extensive experience in production LLM's, such as fine-tuning open-source LLMs, RAG and similar expertise.

Specific tech is much less important to us than finding the right fit, someone that is hungry for a fast paced environment like ours and ready to make an impact. If this sounds like you then you would be then don't hesitate to apply! ? ?

**This is a remote local role based in Vancouver. If you are able to come into the office or are based in BC that is preferred.** Required Skills & Experience

• 5 years of consistent experience working as a Data Scientist or equivalent
• Experience working on end to end AI
• Experience fine-tuning open-source LLMs or equivalent
• Exceptional communication skills

Desired Skills & Experience

• Experience working within a product based software company

What You Will Be Doing Tech Breakdown

• 100% Data science

Daily Responsibilities

• 80% Hands On
• 20% Thought leadership and collaboration

The Offer

• Competitive salary

You will receive the following benefits:

• Medical, Dental, Vision, insurance benefits
• Unlimited PTO

Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.

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