20 publicaciones de empleo destacadas de mlops engineer en alcobendas, md (¡Están contratando!)

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- Azure
- Informática
- AWS
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Machine Learning Engineer

Electronic Arts -
Madrid, Madrid provincia

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Detalles del empleo

Beneficios

Vacaciones pagadas

Cualificaciones

TensorFlow
CI/CD
Azure
Node.js
Informática
Visión artificial
Git
.NET
AWS
Grado
Machine learning
Terraform
Integración continua
REST
NLP
GitHub
APIs
Escalabilidad
Cloud
GitLab
Python
Debugging

Descripción completa del empleo

General Information

Locations: Madrid, Spain

Role ID

213194

Worker Type

Regular Employee

Studio/Department

EA Studios - Localization

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

We are hiring a Machine Learning Engineer to join our Localization Data & AI team, reporting to the Localization Data & AI Manager.

The Loc Data & AI team's mission is to empower EA Localization through thoughtful, data-driven solutions. These solutions involve building scalable AI systems, streamlining ML operations, and creating tools that enhance the quality and efficiency of localized content.

You will focus on designing ML models and infrastructure, collaborating with Data Engineers and Data Scientists.

Responsibilities

You will develop scalable and production-ready ML pipelines to support AI-driven localization workflows.
You will collaborate with teams to understand needs and translate them into ML solutions.
You will train, evaluate, and fine-tune models for NLP, Computer Vision, and other ML use cases.
You will deploy and monitor ML models in different environments, ensuring performance, scalability, and reliability.
You will develop preprocessing pipelines tailored to ML/DL tasks by working with large structured and unstructured datasets in multiple languages.
You will use MLOps best practices for versioning, testing, CI/CD, and monitoring of models (e.g., MLflow, Sagemaker, or VertexAI).
You will develop API REST services using languages such as Python, .NET, or Node.js.
You will partner with Data Engineers and Data Scientists to ensure efficient data access and optimized feature engineering processes.
You will contribute to model and system improvement through experiment tracking, feedback loops, and performance analysis.
You will conduct code reviews and ensure high coding standards.
You will optimize applications for maximum speed and scalability.
You will collaborate with teams to design, and ship new features.
You will ensure adherence to ethical AI and data governance standards.

Qualifications

2+ years of hands-on experience in Machine Learning Engineering.
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related discipline.
Python programming skills, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, and Hugging Face).
Proficiency in building and deploying ML models in real-world applications.
Familiarity with data processing frameworks (Pandas, NumPy) and orchestration tools (Airflow, Prefect).
Experience with model lifecycle management and MLOps tools (e.g., MLflow, VertexAI, SageMaker, and AzureML).
Experience working with APIs, RESTful services, and microservice-based architecture.
Knowledge of NLP and Computer vision techniques and tools for multilingual data.
Experience with cloud services (AWS, Azure, or GCP) for ML/DL development and deployment.
Experience with WebAPI and RESTful services.
Knowledge of software engineering best practices and tools (Gitlab and Github), such as Continuous Integration and Version Control (Git).
Oversee and contribute to the underlying infrastructure that powers ML systems (e.g, Terraform) ensuring, maintainable, and secure foundations for scalable deployment.
Debugging skills and fluent in reading code.
Translate data insights into revenue.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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