USAAHiring

AI/ML Engineer, Senior Level

  • Remote, United States
  • Senior
  • Posted 9 days ago
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In one line

Senior engineer who takes machine learning and GenAI solutions from requirements through deployment and production support, mostly on cloud infrastructure.

About the role

Work spans the full data and model lifecycle, with room to set technical direction and mentor others while keeping risk and compliance requirements in view.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, Java, AWS, GCP, Agile
Posted
20 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Lead the full ML engineering lifecycle, from analysis and data pipelines to deployment and production support
  • Configure and manage AI/ML infrastructure in cloud and on-prem environments, including AWS and GCP
  • Build proof of concepts and present them to leadership
  • Advise data scientists and business partners on model development and implementation
  • Mentor team members and help set technical direction

What they look for

  • Six years in machine learning engineering, data engineering or software development
  • Two of those years in technical leadership or leading teams
  • Strong programming in Python, Java or R
  • Experience delivering ML and GenAI solutions end to end
  • Agile delivery experience and familiarity with MLOps practices

Nice to have

  • Experience with graph databases

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

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

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  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
Apply to Keywordise job 2qmw3hrqiy
How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists AI/ML Engineer, Senior Level as a remote role for candidates in the United States.

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: six years in machine learning engineering, data engineering or software development; two of those years in technical leadership or leading teams; strong programming in Python, Java or R. Skills it names include Python, Java, AWS, GCP.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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