Machine Learning Engineer

K2 Partnering Solutions; Vitoria; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global company in the retail industry is looking for a Machine Learning Engineer to join its innovative team. This role focuses on developing and optimizing machine learning models and data pipelines, utilizing AWS and Databricks, with options for hybrid or remote work. Join an exciting environment that values technical expertise and collaborative problem-solving.

Formación

• Proven experience in AWS services and Databricks.
• Hands-on knowledge of Kubernetes and container management.
• Familiarity with MLOps tools.

Responsabilidades

• Implement infrastructure and security in AWS.
• Develop and optimize data pipelines with Databricks.
• Deploy and manage applications using Kubernetes.

Conocimientos

AWS Expertise

Databricks Experience

Kubernetes Management

MLOps Frameworks

Soft Skills

Herramientas

MLflow

Kubeflow

TFX

Apache Airflow

Descripción del empleo

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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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