ML Engineer

Role overview Build and put machine learning models into production for AI products. The work spans custom data and model pipelines, model fine-tuning, and the operational practices that connect research with reliable deployed systems.

Responsibilities - Design and deploy machine learning models for production use. - Build custom machine learning pipelines. - Fine-tune models for product needs. - Apply MLOps practices to support the path from development to deployment.

Requirements - The source does not specify required qualifications or experience.

Benefits and work setup - Full-time role with remote work.