Job details

Senior Machine Learning Engineer

At EFG (ESL FACEIT Group) we create worlds beyond gameplay, where players and fans become a community. We pride ourselves in having a corporate social responsibility which is that “IT’S NOT GG, UNTIL IT’S GG FOR ALL”.

Our passion, craft, and DNA align to create and shape the world of esports, gaming tournaments, leagues, events, and holistic ecosystems through our millions of players, fans, and heroes, as well as through our people and culture.

You’ll be joining the ML Ops Team, whose mission is to design, build, and evolve a world-class ML Ops platform that empowers Data Scientists and delivers value to EFG's Business teams. This is a rare opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem.

We’re looking for an accomplished Senior Machine Learning Engineer who knows that the true mark of intelligence and experience is kindness, and the responsibility to use it to level up everyone around you.

EXPECTATIONS

Serve as a leader in tech

Ask all the whys, relentlessly until you know your customer needs inside-out and know you’re designing the right solution to the problems and not the other way around;
Partner with our stakeholders and serve as an internal consultant to foster the adoption of our data platform;
You contribute to the technical strategy of the team, and its execution through prioritization, and delivery management;
Set high standards across documentation, testing, resiliency, monitoring, and code quality. Enforce these standards by holding your team accountable;
You drive towards efficiencies and look for ways to simplify code, infrastructure and data models across the platform;
Inspire, teach and guide your fellow team members; lead design sessions, be there for a code review, take ownership of operational processes.

Excel as Senior Engineer

Write well-rounded, reusable and documented code that captures the essential nature of the solution;
Decompose ambiguous and open-ended problems into solutions composed of multiple tooling;
Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP);
Drive towards efficiencies, lowering our tech spend and tackling tech debt on a quarterly basis.

Personify our DNA

Exemplify the values we live by. Nurture a blameless culture. Know and care for your team members; inspire, and guide them to be the best that they can be;
Be the heart-first, people-first tech lead everyone wants to be around because you have invested in building relationships.

Architecture

You’ve participated in shaping the architecture of a mature ML Ops solution and providing quantifiable business value;
You’ve run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before.

Engineering Hands-On

You have 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.);
You have hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day);
You can advocate passionately for your tried-and-true best practices of CI/CD (Github Actions, Jenkins)
You can build and maintain your own infrastructure through IaC (Terraform);
You preach operational procedures from data and infrastructure observability (Prometheus), alerting and incident management (PagerDuty, incident.io);
You are fluent in one or more high-level programming languages (Python, Scala);
Some experience in data modeling.

Tech Leadership

You’ve served as a leader in technology in the past; you’ve made mistakes and learned from them;
You have interacted with a large community of stakeholders before; you understand the business use cases and can tailor your communication to ICs and Senior Management.

Traits

You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours;
You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool;