Senior Machine Learning Ops Engineer - Remote

Overview

As a Senior MLOps Engineer at Colossyan, you will play a crucial role in optimizing our AI video-creation platform, ensuring scalability, efficiency, and robustness as the company scales. This is a crucial role that sits at the intersection of machine learning, software engineering, and data science, offering you the unique opportunity to impact every stage of the lifecycle of an AI model.

In Short

• Managing datasets: Gather, clean, and validate datasets; design, develop and maintain data pipelines.
• Managing the full lifecycle of ML/DL models: Apply best practices to maintain and monitor a continuously operating production system.
• Building ML pipelines: Design, build, and maintain efficient, reusable, and reliable pipelines in Python.
• Collaboration and Leadership: Collaborate with cross-functional teams to deliver high-quality products.
• Quality Assurance: Write clean, understandable, and testable code; enhance testing infrastructure.
• Innovation and Research: Stay abreast of emerging technologies in machine learning and cloud-native technologies.
• Code Review and Integration: Conduct code reviews and propose improvements to ML-related infrastructure.
• Ownership: Lead projects and be proactive about change.

Requirements

• Fluent in written and spoken English.
• Proficiency in Python, Machine Learning, Kubernetes, Argo Workflows, and DevOps.

Benefits

• Stock options to motivate everyone to do their best work.
• Remote work flexibility with one full week of remote work per quarter.
• Free lunch Thursdays for team connections.
• Wellness Wednesdays with expert-led sessions on well-being practices.
• Great office location in Budapest.
• Birthday time off for additional paid day off.
• Cutting-edge AI technology to work with.
• Immediate impact on global development as a rapidly expanding startup.
• Access to private healthcare through Medicover Blue package.