Senior Machine Learning Engineer (Remote)

EFG; La Rioja; A distancia; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Senior Machine Learning Engineer, where you'll influence the architecture of a cutting-edge ML Ops platform. This role offers the opportunity to work closely with data scientists, ensuring the seamless transition of prototypes into production. You'll lead the design of scalable ML workflows, implement CI/CD pipelines, and utilize tools like Terraform and Kubernetes to optimize performance. If you're passionate about fostering a collaborative environment and driving innovation in the esports and gaming industry, this is the perfect opportunity for you to shine.

Formación

• Experience with scalable ML workflows and real-time inference systems.
• Strong background in cloud infrastructure and containerization.

Responsabilidades

• Lead the design and implementation of ML Ops platforms.
• Collaborate with data scientists to transition prototypes into production.
• Maintain high standards for documentation, testing, and code quality.

Conocimientos

Machine Learning

MLOps

Python

Terraform

GCP

Kubernetes

CI/CD

Data Pipelines

Docker

PyTorch

Educación

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or related field

Herramientas

MLFlow

Prometheus

Grafana

Ray.io

Evidently.ai

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 DNA align to shape the world of esports, gaming tournaments, leagues, events, and ecosystems through our community of players, fans, heroes, and our culture.

We’re seeking a talented Senior Machine Learning Engineer who values kindness as a sign of true intelligence and understands the responsibility to elevate everyone around them.

You will join the ML Ops Team, responsible for designing, building, and evolving a top-tier ML Ops platform that empowers Data Scientists and benefits EFG’s Business teams. This is a unique chance to influence the architecture and technical practices of a new ecosystem.

Responsibilities :

• Serve as a leader in tech
• Ask all the whys to understand customer needs and ensure solutions address the right problems.
• Partner with stakeholders and act as an internal consultant to promote our data platform.
• Contribute to the team’s technical strategy, prioritization, and delivery.
• Maintain high standards for documentation, testing, resiliency, monitoring, and code quality.
• Seek efficiencies and simplify code, infrastructure, and data models.
• Inspire, teach, and guide team members; lead design sessions; oversee code reviews and operational processes.
• Excel as Senior Engineer
• Write well-structured, reusable, and documented code.
• Break down ambiguous problems into solutions utilizing various tools.
• Design complex architectures integrating multiple services and SaaS tools, leveraging cloud expertise (GCP).
• Optimize for cost-efficiency and address technical debt regularly.
• Personify our DNA
• Exemplify our values, foster a blameless culture, and care for team members.
• Build strong relationships and be a people-first tech lead.

Requirements :

MLOps & Infrastructure

• Build scalable, reproducible ML workflows.
• Implement CI / CD pipelines with model versioning, evaluation, and deployment.
• Use Terraform for infrastructure as code on GCP and Kubernetes.
• Deploy real-time inference systems for latency-sensitive applications.
• Ensure pipelines are observable and production-ready with tools like Prometheus and Grafana.
• Lead architecture for impactful ML systems, from real-time inference to scalable retraining.
• Evaluate new tools / frameworks for scalability and performance.
• Design platforms supporting ML lifecycle, stakeholder goals, and effective data science.
• Collaborate with data scientists to transition prototypes into production.
• Build models in PyTorch with proper evaluation workflows.
• Integrate LLMs into systems, from prompt engineering to deployment.
• Monitor models for drift and performance degradation.
• Support the full ML lifecycle using tools like MLFlow, Feast, Ray.io, and Evidently.ai.
• Develop resilient batch and streaming data pipelines.
• Use Docker, Kubernetes, and FastAPI for containerized deployment.
• Apply best practices in Python for scalable ML systems.

Tech Leadership

• Have prior leadership experience in technology, learning from past mistakes.
• Engage with stakeholders and tailor communication for different audiences.
• Be a team player who enjoys collaboration and sharing successes.
• Stay updated on data trends and tools.
• Experience in esports, gaming, betting, or events industry is a plus.
• Enjoy the journey and celebrate team wins.