Machine Learning Engineer

buscojobs España; Alicante; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Una empresa líder global en la industria minorista busca un Ingeniero de Machine Learning para unirse a su innovador equipo. Este rol, que puede ser híbrido o remoto, implica el uso de tecnologías avanzadas como AWS y Databricks, así como gestión con Kubernetes. Ideal para quienes tienen un fuerte enfoque en colaboración y resolución de problemas.

Formación

• Experiencia en servicios de AWS y Databricks.
• Conocimiento práctico de Kubernetes.
• Familiaridad con MLflow, Kubeflow, TFX y Apache Airflow.

Responsabilidades

• Implementar y gestionar infraestructura en AWS.
• Desarrollar y optimizar modelos de ML usando Databricks.
• Desplegar y gestionar aplicaciones contenedorizadas con Kubernetes.

Conocimientos

AWS

Databricks

Kubernetes

MLflow

Kubeflow

TFX

Apache Airflow

Comunicación efectiva

Trabajo en equipo

Resolución de problemas

Herramientas

Control de versiones

Descripción del empleo

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Direct message the job poster from K2 Partnering Solutions

Technical Recruiter in K2 Partnering Solutions| Specialized in Economic and Technological Communication.

Location : Hybrid (Barcelona preferred) or Remote from Spain

Type : Freelance Opportunity

About the Company :

Our client is a global leader in the international retail industry is seeking a talented Machine Learning Engineer to join their innovative team.

Key Responsibilities :

• AWS Expertise : Implement and manage infrastructure, automation, and security in AWS .
• Databricks Experience : Develop and optimize data pipelines and machine learning models using Databricks and related services like Model Serving and AI Gateway .
• Kubernetes Management : Deploy, manage clusters, and automate containerized applications with Kubernetes .
• MLOps Frameworks : Utilize tools like MLflow , Kubeflow , TFX , and Apache Airflow for orchestrating ML workflows .
• Soft Skills : Team collaboration, problem-solving, and effective communication.

Requirements :

• Proven experience in AWS services and Databricks .
• Hands-on knowledge of Kubernetes and containerized application management.
• Familiarity with MLflow , Kubeflow , TFX , and Apache Airflow .
• Proficiency in programming languages and version control tools.
• Strong team collaboration and problem-solving skills.
• Ability to work effectively in both hybrid and remote settings.

What We Offer :

If you meet the requirements and are excited about contributing to a global retail leader, apply now or send your CV to

Feel free to share this opportunity with anyone in your network who might be a great fit!

Seniority level

Associate

Employment type

Full-time

Job function

Consulting and Engineering

IT Services and IT Consulting

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