Contractor: Senior Machine Learning Engineering Services

🇲🇽 Remote - MX

🕑 Contractor

💰 TBD

💻 Software Engineering

🗓️ November 25th, 2025

Python PyTorch SQL

Edtech.com's Summary

Newsela is hiring a Contractor: Senior Machine Learning Engineering Services. The contractor will develop and implement machine learning algorithms, design data pipelines, and conduct data analysis to generate insights and optimize models primarily focusing on natural language processing and transformer technologies.

Highlights

Develop and implement machine learning algorithms to solve complex problems.
Design and maintain data pipelines including transformations and preprocessing.
Conduct data analysis to identify trends, test hypotheses, and validate models.
Require 5+ years of experience as a Machine Learning Engineer.
Strong expertise in NLP with a focus on transformers and experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
Strong Python programming skills and expertise in SQL for data manipulation and analysis.
Experience with LLMs, prompt engineering, and developing model APIs using Python frameworks like FastAPI and BentoML preferred.
Familiarity with cloud platforms is preferred, including Google Cloud, AWS services, and experience with search and recommender systems.
This is a long-term contract role with bonus eligibility but without company-sponsored benefits.
Position supports Latin American countries including Brazil, Colombia, Chile, Costa Rica, Argentina, and Mexico.

Contractor: Senior Machine Learning Engineering Services Full Description

We are seeking to hire a skilled long term Contractor for Senior-level Machine Learning Engineer based out of Brazil, Colombia, Chile, Costa Rica, Argentina, Mexico. This role will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems.

Scope of Services:

Develop and implement machine learning algorithms to solve complex problems.
Design and maintain data pipelines, including transformations and preprocessing.
Develop methods for effective data analysis and insight generation.
Create and optimize innovative algorithms for various applications.
Conduct data analysis to identify trends and insights.
Test hypotheses and validate models through rigorous experimentation.

Skills & Experience:

5+ years of experience as a Machine Learning Engineer
Strong experience in NLP, with a focus on using transformers.
Proven experience developing machine learning models and algorithms.
Experience with Deep Learning in frameworks such as Tensorflow, Keras or Pytorch
Experience working with Google Cloud (preferred).
Strong Python programming skills.
Expertise in SQL for data manipulation and analysis.
Experience with LLMs and Prompt Engineering.
Experience developing model APIs using Python frameworks such as FastAPI and BentoML (preferred).
Experience with search and recommender systems (preferred).
Familiarity with AWS services (preferred).

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.

Original Job Description

Scope of Services:

Develop and implement machine learning algorithms to solve complex problems.
Design and maintain data pipelines, including transformations and preprocessing.
Develop methods for effective data analysis and insight generation.
Create and optimize innovative algorithms for various applications.
Conduct data analysis to identify trends and insights.
Test hypotheses and validate models through rigorous experimentation.

Skills & Experience:

5+ years of experience as a Machine Learning Engineer
Strong experience in NLP, with a focus on using transformers.
Proven experience developing machine learning models and algorithms.
Experience with Deep Learning in frameworks such as Tensorflow, Keras or Pytorch
Experience working with Google Cloud (preferred).
Strong Python programming skills.
Expertise in SQL for data manipulation and analysis.
Experience with LLMs and Prompt Engineering.
Experience developing model APIs using Python frameworks such as FastAPI and BentoML (preferred).
Experience with search and recommender systems (preferred).
Familiarity with AWS services (preferred).