Machine Learning Engineer

K2 Partnering Solutions; Torrejón de Ardoz; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading global retail company is looking for a talented Machine Learning Engineer to enhance their innovative team. This role involves working with advanced technologies like AWS and Databricks to optimize data pipelines and ML models. The ideal candidate will have hands-on experience in Kubernetes and MLOps, alongside strong collaboration and problem-solving skills.

Formación

• Proven experience in AWS services and Databricks.
• Knowledge of Kubernetes and containerized applications.
• Familiarity with MLOps tools like MLflow and Kubeflow.
• Proficiency in programming languages and version control.

Responsabilidades

• Implement and manage AWS infrastructure and security.
• Develop data pipelines and machine learning models using Databricks.
• Deploy and manage containerized applications with Kubernetes.
• Utilize MLOps tools for orchestrating ML workflows.

Conocimientos

AWS Services

Databricks

Kubernetes

MLflow

Kubeflow

TFX

Apache Airflow

Team collaboration

Problem-solving

Effective communication

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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