Machine Learning Platform Engineer

Job summary

As an ML System Engineer, you will develop and refine core infrastructure for Machine Learning models and pipelines, collaborating with product teams to solve challenges in building ML solutions. This role involves leading projects from technical design to launch and mentoring junior team members.

Qualifications

• extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning
• expert-level proficiency in Python and ML frameworks
• hands-on expertise with major cloud platforms
• experience with distributed computing frameworks for large-scale data processing
• ability to diagnose and solve complex performance and optimization problems for ML models
• experience with GenAI frameworks and tools

Responsibilities

• developing and refining core infrastructure for Machine Learning models and pipelines
• collaborating with product teams
• curating high-quality ML datasets
• fine-tuning open-sourced Large Language Models
• accessing proprietary LLMs
• leading projects from technical design to launch
• partnering with various teams and stakeholders

Skills

Relocation