High-Performance Machine Learning Infrastructure Specialist
2 weeks ago
This is a highly demanding role where you will design and build the next-generation machine learning feature platform to enable faster iteration and higher-quality models across various applications.
You will work closely with data scientists, modelers, and software engineers to deliver reliable, performant, and scalable systems. As a senior engineer, you will help scale high-demand ML feature pipelines and services to meet the needs of multiple teams.
Main Responsibilities:
- Drive architectural decisions, system reliability improvements, and infrastructure automation.
- Mentor and guide other engineers on best practices in large-scale distributed systems, feature engineering, and ML infrastructure.
- Champion engineering excellence through code reviews, technical documentation, and continuous improvement.
Requirements:
- 5+ years of experience in software engineering, with at least 3+ in large-scale data or ML infrastructure.
- Strong proficiency in programming languages such as Java, Python, Kotlin, or Go.
- Experience building and operating distributed data systems at scale (e.g., Spark, Flink, Kafka, Databricks, Snowflake).
Nice to Have:
- Familiarity with ML workflows, platforms, and systems.
- Experience building or maintaining ML batch or real-time feature systems.
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