PN - MLOps Engineer | Remote | Peru

Overview

We are seeking a highly skilled MLOps Engineer to join our team, bridging the gap between data science and operations by building and maintaining automated infrastructure for deploying and monitoring machine learning models.

In Short

• Build tools for preprocessing, model training, and validation.
• Develop AWS infrastructure and transition to third-party tools.
• Create architecture/design documents and participate in risk management.
• Develop dashboards and data pipelines tailored to ML requirements.
• Design scalable systems for training and inference.
• Develop automation frameworks and collaborate with QA teams.
• Conduct design and code reviews.
• Research and adhere to regulatory software development processes.
• Collaborate with clinical partners and teammates across the U.S.
• Work on innovative technologies to improve lives.

Requirements

• 5+ years of experience creating ML infrastructure for deep learning.
• 10+ years of software engineering experience.
• Deep expertise with AWS services.
• Strong understanding of ML concepts and frameworks.
• Experience in data engineering with distributed processing.
• Familiarity with MLOps frameworks like Kubeflow and MLFlow.
• Proficiency with containerization tools like Docker and Kubernetes.
• Knowledge of A/B testing and model performance benchmarking.
• Expertise in Python and related ML libraries.
• Background in IoT or robotic systems is a plus.

Benefits

• Collaborate with a multidisciplinary team.
• Work on innovative technologies.
• Make a meaningful impact in the field.
• Fast-moving and well-funded organization.