MLOPS Engineer (Inglés C1)/ Remoto 100%

TN Spain; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in Madrid is seeking a skilled MLOps Engineer to design and implement CI/CD pipelines for machine learning workflows. The role involves automating data processes and optimizing big data management using AWS. Ideal candidates will have a strong background in Python and experience with CI/CD tools. Join a dynamic team focused on innovative solutions in the field of machine learning.

Formación

• Proven experience in MLOps.
• Strong knowledge of AWS services, especially EMR.
• Experience with CI/CD tools.

Responsabilidades

• Design and implement CI/CD pipelines for ML workflows.
• Automate data ingestion, transformation, and validation processes.
• Monitor and troubleshoot production ML pipelines.

Conocimientos

MLOps

Python

AWS

CI/CD

Big Data

Educación

Bachelor's or Master's degree in Computer Science

Herramientas

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Terraform

CloudFormation

Spark

Hadoop

Descripción del empleo

Social network you want to login/join with:

col-narrow-left

Client:

Krell-consulting

Location:

Madrid, Spain

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

3

Posted:

17.05.2025

Expiry Date:

01.07.2025

col-wide

Job Description:

Start date: 19/05/2025 and end date: 31/12/2025. Renewal every 6 months

Responsibilities:

• Design and implement CI/CD pipelines for ML workflows.

• Automate data ingestion, transformation, and validation processes.

• Manage and optimize big data processing using AWS EMR and related services.

• Implement parallelization strategies to improve performance and scalability.

• Monitor and troubleshoot production ML pipelines.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience in MLOps.

• Strong knowledge of AWS services, especially EMR.

• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).

• Proficiency in Python and scripting for automation.

• Familiarity with big data tools (e.g., Spark, Hadoop).

• Understanding of containerization (Docker) and orchestration (Kubernetes) is a plus.

Must Have:

• CI/CD for ML workflows

Nice to have:

• Experience with infrastructure as code (Terraform, CloudFormation)

• Familiarity with ML model monitoring and drift detection

• Knowledge of data validation frameworks (e.g., Great Expectations)