Machine Learning Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Develop and enhance machine learning models, ensuring they are scalable, monitored, and integrated with MLOps best practices.

• Execute client specifications, ranging from exploratory data analysis (EDA) to feature engineering and management of the model lifecycle.

• Create machine learning Proof of Concepts (POCs) to validate and improve solutions.

• Enhance model performance, including latency, memory usage, and throughput.

• Utilize statistical analysis methods and create regression models.

• Design and oversee the maintenance of feature stores and data pipelines for machine learning workflows.

• Investigate and apply cutting-edge ML/AI techniques to improve solutions.

• Work collaboratively with stakeholders to ensure technical solutions align with business objectives.

⛳️ Requirements

• Proven experience in implementing ML-based systems, including managing the model lifecycle, monitoring, and setting up MLOps pipelines.

• Strong expertise in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).

• Familiarity with SQL.

• Experience with cloud services (AWS, GCP, Azure).

🏝️ Benefits

• 🌍 Remote-first culture – work from anywhere!

• 🚀 In-Company English Lessons.

• 💪 Wellhub or sports club stipend to stay active.

• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.

• 🍕 Food credits via Pedidos Ya – because great work deserves great food.

• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️).

• 🤝 Referral bonuses – help us grow the team & get rewarded!

• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!