Senior Machine Learning Infrastructure Engineer

Job Summary

A company is looking for a Senior Machine Learning Infrastructure Engineer.

Key Responsibilities:

• Design, implement, and manage complex Machine Learning pipelines, including feature store deployment, real-time data workflows, cluster management, and GPU-based training jobs
• Utilize ML tools and technologies such as Spark, Pandas, and Torch to enhance data engineering tasks and model training and deployment
• Work with large language models for text generation and Natural Language Processing (NLP) tasks

Qualifications:

• Expertise in ML infrastructure, including feature store deployment, real-time data workflows, cluster management, and GPU-based training jobs
• Deep understanding of ML tools and technologies such as Spark, Pandas, and Torch
• Demonstrable experience in applying machine learning techniques to enhance data engineering tasks, with emphasis on model training and deployment
• Familiarity with large language models for text generation and NLP tasks
• Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), and SQL expertise with data modeling and database design principles