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Senior Machine Learning Engineer

2 months ago

London, Greater London, United Kingdom EFG Full time
About EFG

EFG is a leading esports and gaming company that creates immersive experiences for millions of players and fans worldwide. Our mission is to build a world-class ML Ops platform that empowers data scientists and delivers value to our business teams.

Job Summary

We are seeking an accomplished Senior Machine Learning Engineer who will partner with our stakeholders to foster the adoption of our data platform. The ideal candidate will have a strong background in designing, building, and evolving complex ML Ops solutions.

Key Responsibilities
  • Partner with stakeholders to drive the adoption of our data platform and provide internal consulting services to foster a culture of data-driven decision making.
  • Set high standards for documentation, testing, resiliency, monitoring, and code quality to ensure the delivery of high-quality solutions.
  • Drive towards efficiencies and simplify code, infrastructure, and data models across the platform.
  • Excel as a Senior Engineer by writing well-rounded, reusable, and documented code that captures the essential nature of the solution.
  • Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP).
  • Be a heart-first, people-first tech lead who has invested in building relationships and is known for their exceptional leadership skills.
Requirements
  • Participated in shaping the architecture of a mature ML Ops solution and provided quantifiable business value.
  • Run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before.
  • Hands-on experience supporting the infrastructure required for an efficient ML workflow, from initial conception to development (DVC, Mlflow, etc.) to deployment (KServe, BentoML, TFX, etc.).
  • Hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day).
  • Preach operational procedures from data and infrastructure observability (Prometheus), alerting and incident management (PagerDuty).
  • Fluent in one or more high-level programming languages (Python, Scala).
  • Interacted with a large community of stakeholders before.
  • Up-to-date on new trends in data and excited for the next release of your favorite tool.
  • Past experience in the esports/gaming/betting/events industry would be a great asset.