Machine Learning Engineer (Python) - Remote Work | REF#297194

BairesDev; Antioquia; A distancia; COP 292.047.000 - 454.295.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive pay in USD or local

Equipment provided

Flexible hours

Paid parental leave

Paid vacations

Global team

Mentorship and growth

Descripción de la vacante

BairesDev is hiring a Machine Learning Engineer (Python) to design, train, and deploy ML models into production. You will build scalable, high-performance systems that translate research into business value.

Work 100% remotely with a global Top 1% tech talent network, flexible hours, and strong career development. You will collaborate with cross-functional teams to ensure models meet business goals and infrastructure requirements.

Formación

• 4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering.

Responsabilidades

• 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.

Conocimientos

Machine learning

Python

Deep learning

Model deployment

Data processing

Herramientas

PyTorch

TensorFlow

Databricks

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Machine Learning Engineer (Python) at BairesDev

As a Machine Learning Engineer (Python), you will design, train, and deploy machine learning models into production environments. You will ensure the transition from research to execution by building scalable and high-performance systems that deliver real-world business value.

What You’ll Do

• 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.

What We Are Looking For

• 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.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).


• Excellent compensation in USD or your local currency if preferred


• Hardware and software setup for you to work from home.


• Flexible hours: create your own schedule.


• Paid parental leaves, vacations, and national holidays.


• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.


• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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