Remote ML Engineer (Python) — Build Scalable Models

BairesDev

Antioquia

Remote

COP 194,527,000 - 291,791,000

Full time

10 days ago

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Benefits offered by this job

100% remote work
Competitive USD compensation
Hardware provided
Flexible hours
Parental leave & holidays
Mentorship & growth opportunities

Job summary

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy ML models into production. You will build scalable ML pipelines, pre-processing data, feature engineering, and model training, with PyTorch or TensorFlow in production environments.

The role requires 4+ years in ML/DS/SE, deep Python expertise, and experience with Databricks. This is a 100% remote position with competitive USD compensation and flexible hours.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
PyTorch
TensorFlow

Tools

Databricks

Job description

BairesDev is seeking a Machine Learning Engineer (Python) to design, train, and deploy ML models into production. You will build scalable ML pipelines, pre-processing data, feature engineering, and model training, with PyTorch or TensorFlow in production environments.

The role requires 4+ years in ML/DS/SE, deep Python expertise, and experience with Databricks. This is a 100% remote position with competitive USD compensation and flexible hours.

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