QuantiphiHiring

Associate Technical Architect - ML

  • Remote, Canada
  • Full-time
  • Senior
  • Posted 5 days ago
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In one line

Remote machine learning architect role in Canada, designing and deploying ML models on AWS for enterprise clients.

About the role

Suited to someone with deep hands-on AWS ML experience who enjoys solving complex business problems with models and working with large language models.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Canada
Seniority
Senior
Employment
Full-time
Skills
AWS, SageMaker, Langchain, AWS Bedrock, Llama2, RAG, OpenSearch, Elasticsearch
Posted
24 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design and develop advanced machine learning models and algorithms.
  • Optimize and deploy models on AWS infrastructure for scalability and reliability.
  • Work with LLMs, RAG architecture, and fine-tuning.
  • Engineer prompts and evaluate model performance.

What they look for

  • 8+ years of hands-on technical experience building cloud ML solutions on AWS.
  • Experience developing applications with LLMs using Langchain.
  • Experience fine-tuning large language models, specifically Llama2.
  • Familiarity with RAG architecture and vector indexing like OpenSearch or Elasticsearch.

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in Canada.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: 8+ years of hands-on technical experience building cloud ML solutions on AWS; experience developing applications with LLMs using Langchain; experience fine-tuning large language models, specifically Llama2. Skills it names include AWS, SageMaker, Langchain, AWS Bedrock.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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