Machine Learning Engineer; Python - Remote Work

About Baires Dev

At Baires Dev®, 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.

Machine Learning Engineer (Python)

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.

• 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 Tensor Flow 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.

• 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 Tensor Flow.
• 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.

• 100% remote work (from anywhere).
• Excellent compensation in USD or local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leave, 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.