USAAHiring

AI/ML Engineer - Mid Level

  • Remote, United States
  • Mid-level
  • Posted 9 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Mid-level machine learning engineer building and running models in production, four days a week in the office.

About the role

Suits someone with a few years of data or software work who can take models from analysis through deployment and keep them running. Relocation help is not offered.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, Java, AWS, GCP, Graph databases, Data pipelines, Machine learning
Posted
20 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Work with data scientists and business teams so predictive models match business goals.
  • Build, test and integrate machine learning processes into business applications.
  • Refactor model code into maintainable solutions that follow coding standards.
  • Set up and manage AI/ML infrastructure in cloud and on-prem environments, including AWS, GCP and graph databases.
  • Handle the full engineering cycle: analysis, design, data pipelines, testing, deployment, scheduling, production support, APIs and integrati

What they look for

  • A bachelor's degree, or four years of relevant education and experience.
  • Strong programming in Python, R or Java.
  • Solid experience with data engineering and data pipelines.
  • A track record of delivering machine learning solutions end to end, including building, integrating and tuning.

Benefits

  • Flexible work environment with four days a week in the office.

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.

Apply with Keywordise AI7-day free trial, no card.

Apply from your AI assistant

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 tvm2gaplte
How to connect

Questions about this job

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

Yes. The posting lists AI/ML Engineer - Mid 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 mid-level role. The posting asks for: a bachelor's degree, or four years of relevant education and experience; strong programming in Python, R or Java; solid experience with data engineering and data pipelines. Skills it names include Python, Java, AWS, GCP.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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