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Data Science Infrastructure Lead

1 month ago


London, Greater London, United Kingdom ESL Faceit Group Full time

ESL Faceit Group is dedicated to creating immersive worlds beyond gameplay. As a Senior Machine Learning Engineer, you'll be part of a dynamic team that strives to deliver exceptional experiences.

This role is perfect for someone who's passionate about designing, building, and evolving a world-class ML Ops platform that empowers Data Scientists and drives business value.

About the Job
  • We're seeking a seasoned professional with expertise in shaping mature ML Ops solutions and providing quantifiable business value;
  • You'll partner with stakeholders, serve as an internal consultant, and foster the adoption of our data platform;
  • As a tech lead, you'll drive efficiencies, simplify code, infrastructure, and data models, and excel as a Senior Engineer;

Key Responsibilities:

  • Design and implement robust architectures for ML Ops solutions;
  • Partner with stakeholders to foster the adoption of our data platform;
  • Drive efficiencies and simplify code, infrastructure, and data models;

Requirements:

  • Architecture:
    • Experience in shaping architecture for mature ML Ops solutions and providing quantifiable business value;
    • Proven track record of running PoCs, planning large migrations of data and code, and participating in roadmaps;
  • Engineering Hands-On:
    • Hands-on experience supporting infrastructure for efficient ML workflows, from initial conception to development and deployment;
    • Proficiency in building resilient batch and streaming data pipelines at scale (1 TB/day);
    • Strong understanding of data and infrastructure observability, alerting, and incident management;
    • Fluency in high-level programming languages (Python, Scala) and some experience in data modeling;

Estimated Salary: $150,000 - $170,000 per annum

Benefits:

  • Competitive salary and benefits package;
  • Opportunity to work on cutting-edge projects that shape the world of esports, gaming, and events;
  • Collaborative environment with a talented team of professionals;