Machine Learning Engineer

K2 Partnering Solutions; Lérida; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global retail company is seeking a talented Machine Learning Engineer to join their innovative team. This role involves implementing AWS infrastructures, developing data pipelines with Databricks, and managing Kubernetes applications. Ideal candidates will excel in team collaboration and possess strong problem-solving skills in both hybrid and remote work settings.

Formación

• Proven experience in AWS services and Databricks.
• Hands-on knowledge of Kubernetes.
• Familiarity with MLflow, Kubeflow, TFX, and Apache Airflow.

Responsabilidades

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

Conocimientos

AWS Expertise

Databricks Experience

Kubernetes Management

MLOps Frameworks

Team collaboration

Problem-solving

Effective communication

Descripción del empleo

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Direct message the job poster from K2 Partnering Solutions

Technical Recruiter at K2 Partnering Solutions | Specializing in Economic and Technological Communication

Location: Hybrid (preferably Barcelona) or Remote from Spain

Type: Freelance Opportunity

About the Company:

Our client is a global leader in the international retail industry and is 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 us.

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

Additional Information:

Seniority level: Associate

Employment type: Full-time

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

Job ID: J-18808-Ljbffr