Are you an inspirational leader with a deep understanding and respect for the honorable responsibility of leading brilliant minds? We are seeking a Manager ML Ops to guide our data engineering team at ESL FACEIT Group. Your mission will be to build, scale, and evolve a world-class data analytics platform, serving as the foundation of every decision we make.
This is a unique opportunity to shape the strategy, architecture, and execution patterns of our data ecosystem. Lead our team and culture at a global, data-driven company that brings communities together and creates worlds beyond gameplay.
Exemplify our core values. Build and nurture a blameless culture. Inspire, develop, and guide your team members to be their best. Foster a team identity that everyone wants to be a part of.
Implement processes that enhance efficiency. Champion best practices for project management. Prioritize effectively, communicate clearly, know when to juggle tasks and when to focus.
Understand the data thoroughly and foster the same rigor within your team. Develop tech solutions that deliver real business value. Focus on measurable quality and impact, not just quantity.
Build strong partnerships with engineering and data leadership. Translate strategic analytics needs into actionable plans. Bridge the gap between non-technical stakeholders and your team's work.
Embrace a servant-leadership mindset. Consistently deliver people, process, and culture-enabling products. Continuously learn and improve as a leader and manager. Cultivate a supportive, collaborative leadership culture.
View the bigger picture while working as part of a holistic Data Platform solution. Have experience in ML Ops solutions design and a strong understanding of Data Science and ML models. You have shaped the architecture of an ML Ops platform and learned from past experiences. You advocate for simplicity as a mark of excellence.
Support infrastructure for efficient ML workflows, from conception to deployment (e.g., DVC, Mlflow, KServe, BentoML, TFX). Build resilient data pipelines at scale (> 1 TB/day) using tools like Airflow, Fivetran, Kafka, and Kinesis. Advocate for CI/CD best practices (Github Actions, Jenkins). Maintain infrastructure using IaC (Terraform). Implement operational procedures (Prometheus, PagerDuty, incident.io). Fluent in high-level programming languages (Python, Scala).
Deliver high-quality service rooted in customer care. Build strong relationships across teams, from analytics to software engineering. Effectively communicate and foster bonds.
Employ a data-driven approach to measure team performance. Drive efficiencies, reduce cloud spend, and optimize processes. Share insights from your improvements.
Grow and lead engineering teams, from tech leads to senior and staff engineers. Possess a diverse background, having worn many hats in the tech field.
Join us in shaping the future of data analytics and technology in a dynamic, global company that values integrity, collaboration, and innovation. As a Manager ML Ops, you will have a pivotal role in our mission to create engaging experiences and bring communities together.
If you are ready to make a significant impact and lead our ML Ops initiatives, apply now to be a part of ESL FACEIT Group.