Machine Learning Ops Engineer

Role Overview

• Be at the forefront of designing, developing, and implementing software solutions
• Responsible for implementing identified components based on design documentation
• Ensure implemented components are documented, unit-tested, and integration-ready
• Architect solutions, test code, and build CI/CD pipelines
• Provide work estimates for development tasks and guide relevant features and technologies
• Manage the end-to-end development of AI services and ensure best practices in MLOps/DevOps

Requirements

• Diploma or degree in Computer Science, Computer Engineering or related disciplines
• 2+ years of programming experience in Python
• Experience in using one or more Machine Learning and Deep Learning libraries (PyTorch, Tensorflow, scikit-learn) for creating or training models
• Good knowledge of supervised and unsupervised learning algorithms
• Good knowledge of the Linux environment
• Good knowledge of DevOps practices and tools, in particular Docker
• Excellent knowledge of CI/CD best practices
• Excellent analytical and problem solving skills
• Propensity for teamwork and research
• Good knowledge of English (B2 or above)

Tech Stack

• Docker
• Linux
• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• Health insurance
• Flexible working arrangements
• Professional development opportunities
• Paid time off
• Employee referral program