Machine Learning Engineer

K2 Partnering Solutions; Cádiz; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

K2 Partnering Solutions is seeking a Technical Recruiter to assist a global retail leader. This role requires strong expertise in AWS, Databricks, Kubernetes, and MLOps frameworks. Ideal candidates will showcase effective collaboration and problem-solving skills in both hybrid and remote settings, working alongside innovative teams to contribute to impactful projects.

Formación

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

Responsabilidades

• Implement and manage AWS infrastructure, automation, and security.
• Develop and optimize data pipelines using Databricks.
• Deploy and manage Kubernetes clusters.

Conocimientos

AWS Expertise

Databricks

Kubernetes Management

MLOps Frameworks

Team Collaboration

Problem-Solving

Effective Communication

Herramientas

MLflow

Kubeflow

TFX

Apache Airflow

Descripción del empleo

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Position: Technical Recruiter at 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 seeking a talented Machine Learning Engineer to join their innovative team.

Key Responsibilities:

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

Requirements:

1. Proven experience in AWS services and Databricks.
2. Hands-on knowledge of Kubernetes and containerized application management.
3. Familiarity with MLflow, Kubeflow, TFX, and Apache Airflow.
4. Proficiency in programming languages and version control tools.
5. Strong team collaboration and problem-solving skills.
6. 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 [contact information].

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

Additional Details:

Seniority level: Associate

Employment type: Full-time

Job function: Consulting and Engineering, IT Services and IT Consulting

Job ID: J-18808-Ljbffr