GramianHiring

Machine Learning Research & Engineering Specialist

  • Remote, Latin America
  • Senior
  • Posted 9 days ago
Apply with Keywordise AI

or apply from Claude / ChatGPT / Muse

In one line

Part-time ML engineering role on an AI training project, writing and debugging Python training and inference code; remote worldwide, about 15 hours a week.

About the role

Fits a quantitative researcher or engineer who prefers hands-on coding to design work. Success means reproducible pipelines and verified correctness against objective performance targets.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Latin America
Seniority
Senior
Skills
Python, Machine learning, Coding agents, Command-line tools, Numerical methods
Posted
26 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Build and validate models, training pipelines, inference systems and the infrastructure around them
  • Change model parts, data pipelines, evaluation code and numerical methods in Python
  • Set up repeatable workflows with Python, command-line tools and ML frameworks
  • Trace numerical, algorithmic and system faults to their cause and fix them
  • Tune training and inference for memory, speed and throughput
  • Write and run tests that prove implementations are correct

What they look for

  • A master's or PhD in computer science, ML, AI, applied maths, statistics, engineering or a similar quantitative field
  • Solid professional or research background in machine learning and practical ML engineering
  • Strong Python skills, able to write, debug, test and optimise non-trivial code
  • Hands-on use of coding agents inside a Python workflow
  • Familiarity with model development, training and inference flows and how to evaluate them
  • Ability to build repeatable implementations and check them with systematic tests

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 os4zrjov4o
How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, aimed at candidates in Latin America.

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: a master's or PhD in computer science, ML, AI, applied maths, statistics, engineering or a similar quantitative field; solid professional or research background in machine learning and practical ML engineering; strong Python skills, able to write, debug, test and optimise non-trivial code. Skills it names include Python, Machine learning, Coding agents, Command-line tools.

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.

More remote IT and software jobs

All remote IT and software jobs
GramianRemote, Latin America
Apply with Keywordise AI