Machine Learning / Data Engineer — English & Spanish Needed
Budget / Salary$750–1,500
TypeFreelance project
LocationRemote
Posted1 hour ago
Machine Learning / Data Engineer — English & Spanish
We are an early-stage startup looking for a mid-level Machine Learning / Data Engineer with 3–5 years of experience. You will help build our data and ML systems from the ground up, from reliable data pipelines to production-ready models.
Responsibilities
* Build and maintain data ingestion and transformation pipelines.
* Develop, deploy, and monitor machine learning models.
* Clean and organise messy data from different sources.
* Translate business needs into practical data or ML solutions.
* Document systems, processes, and technical decisions.
* Work independently and collaborate in English and Spanish.
Requirements
* Strong Python, pandas, NumPy, and scikit-learn skills.
* Experience with PyTorch or TensorFlow.
* Advanced SQL knowledge.
* Experience with Airflow, Prefect, Dagster, or similar tools.
* Knowledge of at least one cloud platform.
* Fluent spoken and written English and Spanish.
Experience with Spark, dbt, Docker, MLOps, LLMs, or an early-stage startup is helpful but not required.
To apply, send your CV and a short description of something you built, including the problem, your contribution, the tools used, and the result. GitHub or portfolio links are welcome.
Every applicant will receive a response.
We are an early-stage startup looking for a mid-level Machine Learning / Data Engineer with 3–5 years of experience. You will help build our data and ML systems from the ground up, from reliable data pipelines to production-ready models.
Responsibilities
* Build and maintain data ingestion and transformation pipelines.
* Develop, deploy, and monitor machine learning models.
* Clean and organise messy data from different sources.
* Translate business needs into practical data or ML solutions.
* Document systems, processes, and technical decisions.
* Work independently and collaborate in English and Spanish.
Requirements
* Strong Python, pandas, NumPy, and scikit-learn skills.
* Experience with PyTorch or TensorFlow.
* Advanced SQL knowledge.
* Experience with Airflow, Prefect, Dagster, or similar tools.
* Knowledge of at least one cloud platform.
* Fluent spoken and written English and Spanish.
Experience with Spark, dbt, Docker, MLOps, LLMs, or an early-stage startup is helpful but not required.
To apply, send your CV and a short description of something you built, including the problem, your contribution, the tools used, and the result. GitHub or portfolio links are welcome.
Every applicant will receive a response.
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