Senior Machine Learning Engineer (Remote)

buscojobs España; Cáceres; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company in the esports and gaming industry is seeking a Senior Machine Learning Engineer to join their ML Ops Team. This role involves designing scalable ML systems, collaborating with data scientists, and leading technical improvements. The ideal candidate will have strong leadership skills and a passion for technology, contributing to a culture of kindness and innovation.

Formación

• Experience with ML workflows and deploying systems with CI/CD.
• Proficiency in infrastructure as code and GCP.
• Strong leadership and stakeholder communication skills.

Responsabilidades

• Design and evolve a top-tier ML Ops platform.
• Collaborate with stakeholders to promote data platform adoption.
• Mentor team members and oversee operational processes.

Conocimientos

Leadership

Communication

Python

Terraform

GCP

Kubernetes

PyTorch

Herramientas

Prometheus

Grafana

Airflow

dbt

Docker

FastAPI

Descripción del empleo

At EFG (ESL FACEIT Group), we create worlds beyond gameplay, where players and fans become a community. We pride ourselves on our corporate social responsibility: "IT'S NOT GG, UNTIL IT'S GG FOR ALL".

Our passion, craft, and culture shape the world of esports, gaming tournaments, leagues, events, and ecosystems, engaging millions of players, fans, heroes, and our team members.

We are seeking an experienced Senior Machine Learning Engineer who values kindness as a mark of intelligence and understands the responsibility to uplift those around them.

Join the ML Ops Team

• Design, build, and evolve a top-tier ML Ops platform to empower Data Scientists and add value to our business teams.
• Shape the architecture and technical strategies of a greenfield ecosystem.

Leadership in Technology

• Understand customer needs deeply by asking questions and ensuring solutions meet those needs.
• Collaborate with stakeholders and promote adoption of our data platform.
• Contribute to strategic planning, prioritize tasks, and manage delivery.
• Maintain high standards for documentation, testing, resiliency, monitoring, and code quality.
• Simplify code, infrastructure, and data models for efficiency.
• Mentor team members, lead design sessions, and oversee operational processes.

Technical Excellence

• Develop well-documented, reusable code that captures core solutions.
• Break down complex problems into manageable components.
• Design architectures integrating multiple services and SaaS tools, leveraging GCP cloud infrastructure.
• Optimize for cost-efficiency and address technical debt regularly.

Core Values and Culture

• Exemplify our values, nurture a blameless culture, and care for team members.
• Build strong relationships and foster a people-first approach.

Minimum Requirements

• Experience building scalable, reproducible ML workflows and deploying ML systems with CI/CD pipelines.
• Proficiency in infrastructure as code with Terraform, and deploying on GCP and Kubernetes.
• Experience with real-time inference systems, observability tools like Prometheus and Grafana.
• Designing and implementing mature ML systems that provide tangible business value.
• Leading technical design improvements, migrating workflows, and evaluating new tools such as Seldon or LLM frameworks.
• Building platforms supporting ML lifecycle needs, collaborating closely with data scientists and researchers.
• Proficiency in PyTorch, model monitoring, drift detection, and full ML lifecycle management tools.
• Experience with batch and streaming data pipelines using Airflow, dbt, Pub/Sub, Docker, Kubernetes, FastAPI, and Python.
• Strong leadership skills, stakeholder communication, and a passion for learning and industry trends.