Remote Python ML Engineer - Production-Scale Models

BairesDev; United States; Remote; CLP 117.878.000 - 176.817.000; Vollzeit

Benefits dieser Stelle

Remote work

USD payments

Hardware provided

Flexible hours

Parental leave and vacations

Zusammenfassung

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy ML models in production, building scalable pipelines and bridging research to execution.

This 100% remote role offers USD compensation, flexible hours, hardware setup, and a multicultural, mentorship‑driven environment.

Requirements: 4+ years in ML/DS/SWE; advanced Python skills; PyTorch or TensorFlow; Databricks; strong English.

Qualifikationen

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.
• Proven expertise in designing, training, and deploying machine learning models in production environments.
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with Databricks for managing and scaling machine learning workloads.
• Strong background in optimizing model performance and ensuring production system scalability.
• Advanced proficiency in English.

Aufgaben

• Design and implement production-ready machine learning models and algorithms using Python.
• Build and optimize end-to-end ML pipelines, covering data preprocessing, feature engineering, and model training.
• Deploy models at scale using frameworks like PyTorch and TensorFlow within production environments.
• Manage and transform large datasets on platforms like Databricks to ensure data quality and reliability.
• Monitor model performance and accuracy in production, implementing retraining strategies to handle data drift.
• Collaborate with cross-functional teams to align model architectures with business goals and infrastructure requirements.

Kenntnisse

Machine Learning

Python

Deep Learning

Tools

PyTorch

TensorFlow

Databricks

Jobbeschreibung

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy ML models in production, building scalable pipelines and bridging research to execution.

This 100% remote role offers USD compensation, flexible hours, hardware setup, and a multicultural, mentorship‑driven environment.

Requirements: 4+ years in ML/DS/SWE; advanced Python skills; PyTorch or TensorFlow; Databricks; strong English.