Remote ML Engineer: LLMs, Data Pipelines & MLOps
Summary
Build and deploy ML models end-to-end, focusing on LLMs, data pipelines, and MLOps for client projects using Python and scalable infrastructure.
hirehangar is seeking a Machine Learning Engineer to own the full lifecycle of ML projects, from data preparation to deployment and ongoing monitoring. You will work on diverse AI initiatives, ensuring data quality and scalable solutions across client engagements.
The role emphasizes strong Python skills, ML libraries, and hands-on experience with MLOps, experimentation tracking, and deployment pipelines. Collaboration with engineering and product teams is essential for integrating AI features.