Machine Learning Engineer - Remote

Overview

We are seeking a highly skilled Machine Learning Engineer to join one of our strategic client projects focused on developing intelligent systems at scale. This role is an exciting opportunity for professionals passionate about designing, deploying, and optimizing advanced machine learning models in production environments. You will be part of a multidisciplinary team, contributing to data-intensive applications that leverage the latest in distributed computing and MLOps practices.

In Short

• Design and implement end-to-end machine learning solutions using Python and TensorFlow.
• Develop and optimize distributed data processing pipelines using PySpark and Kubernetes.
• Build scalable backend services leveraging Django to support ML model integration and real-time inference.
• Apply rigorous mathematical and statistical methodologies to solve complex business problems.
• Collaborate with data engineers, product owners, and DevOps to ensure efficient deployment and monitoring of ML models.
• Translate business needs into robust technical solutions while maintaining high code quality and documentation.

Requirements

• 5+ years of experience in software engineering with a strong focus on machine learning systems.
• Advanced proficiency in Python, with experience using TensorFlow for deep learning model development.
• Proven experience with Apache Spark (PySpark) for large-scale data processing.
• Hands-on experience working with Kubernetes in production-grade ML workloads.
• Experience building web services with Django or similar frameworks.
• Solid understanding of the mathematical foundations of machine learning, including statistics, linear algebra, and algorithmic complexity.
• Bachelor's degree in Computer Science, Applied Mathematics, or a related quantitative field.

Benefits

• Collaborate with talented professionals across LATAM.
• Work in a fully remote model.
• Engage in solving meaningful problems and building software that scales.