MLOps Developer

Job summary

ModiFace is seeking an experienced MLOps Developer to help scale the next generation of beauty tech. The role involves developing automated tools for the AI/ML pipeline, maintaining CI/CD pipelines, and collaborating with cross-functional teams to optimize machine learning models.

Qualifications

• 3+ years of hands-on experience as an MLOps developer in a cloud-native environment
• Strong software engineering background with fluency in Python
• Expertise with Docker and container orchestration platforms
• Experience provisioning and managing infrastructure on cloud providers
• Knowledge of ML frameworks and lifecycle tracking tools
• Success in a fast-paced Agile/SCRUM development setting
• Ability to translate complex concepts for non-technical audiences

Responsibilities

• Develop automated tools for all stages of the AI/ML pipeline in a cloud environment
• Design and maintain Continuous Integration and Continuous Deployment pipelines for ML artifacts
• Provision, manage, and scale cloud-based infrastructure with DevOps team
• Optimize deep learning models for deployment and performance across platforms
• Collaborate with ML engineers and product teams for LLM-controllable tools
• Participate in peer code reviews, automated testing, and agile ceremonies
• Industrialize ML models by collaborating with diverse teams

Skills

Degrees

Relocation