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MLOps Engineer Job Opening In Madrid – Now Hiring WayOps


Job description

En WayOps buscamos un perfil MLOps Engineer que quiera desarrollar su carrera profesional formando parte de un equipo Data & AI de primer nivel y trabajando en proyectos cloud con las últimas tecnologías.


CONTEXTO & RESPONSABILIDADES

La persona seleccionada se incorporará dentro de un equipo de nueva formación que tendrá como misión automatizar mediante MLOps la creación responsable de modelos en la plataforma analítica.

Junto al AI Architect, el MLOps Engineer deberá implementar pipelines CI/CD que permitan la integración y entrega continuas de código (DevOps) y modelos (ModelOps).

Será imprescindible contar con un background técnico en programación y familiaridad tanto con DevOps, como con el ciclo de vida de los modelos científicos. 


PROYECTO & EQUIPO
El proyecto persigue la adaptación de la plataforma analítica existente para integrar la creación responsable de modelos y automatizar su despliegue mediante MLOps.

Como quiera que la base tecnológica ya incluye Azure Databricks y Azure Machine Learning Services, se quiere realizar la implementación del proceso gobernado desde Azure DevOps integrando a través de SDK con el resto de servicios para la creación automática de recursos o implementar las pipelines de despliegue.

Para el éxito del proyecto, resulta imprescindible contar con especialistas que además de tener visión de la arquitectura puedan realizar la configuración de las pipelines y crear los arquetipos en código que integren con los diferentes servicios de Azure Machine Learning.

La configuración de cada iniciativa debe permitir el desarrollo local o remoto contra un clúster en Databricks o un Compute en Azure Machine Learning.

Toda la configuración del proyecto y despliegue deben ser automatizados.

El equipo designado para el proyecto incluirá ingenieros de automatización MLOps (MLOps Engineer) e ingenieros de industrialización IA (AI Engineer) que serán supervisados por el líder técnico (Team Lead).

El AI Architect trabajará de la mano del líder técnico y deberá liderar las tareas del equipo, especialmente los ingenieros de industrialización AI.

Además, el proyecto contará con la supervisión del arquitecto empresarial y el apoyo del especialista de la plataforma.

En total el equipo del proyecto serán unas ocho personas.

EXPERIENCIA & CONOCIMIENTOS

El perfil a incorporar deberá contar con 2-3 años de experiencia como especialista DevOps liderando la creación de pipelines de integración y despliegue continuo con Azure DevOps, así como código que permita la industrialización y automatización del despliegue de entornos (IaC).

Además, deberá contar con un background de 3-5 años de experiencia como Ingeniero de Software o Ingeniero de Sistemas desarrollando aplicaciones y programas o desarrollando scripts que faciliten la configurando de entornos.


Se valorará experiencia previa en industrialización de entornos Data & AI, especialmente los orientados al ciclo de vida de los modelos científicos.

Además, se valorará experiencia con Bizep/Terraform y experiencia o conocimiento con la API de de Azure Databricks.


Será necesario tener experiencia previa con tecnologías: 
  • Azure DevOps (Boards, Pipelines, Repos, Test Plans, Artifacts)
  • Azure (Key Vault, Managed Identities, Application Insights, Azure Monitor, App Service, Storage)
  • Azure Machine Learning (Experiment Tracking, Model Registry, AML SDK v2, MLflow)
  • IaC (Terraform, Databricks API, Bicep, Docker, Powershell, Scripting)
  • QA & Testing (Kiuwan, JMeter, PyTest)
  • Visual Studio Code, Git, GitFlow)
Además se valorará positivamente contar con experiencia o conocimientos en:
  • Azure (Data Factory, Databricks, Azure Machine Learning, Cosmos DB, SQL Databases)
  • Azure Machine Learning (AML Pipelines, AML Endpoints, AML Environments, AML Compute)
  • Databricks (Delta Tables, Unity Catalog, Databricks Connect)
  • Desarrollo Python (Click, Poetry, Pipx, Opencensus, Black, Pdb+, fastAPI)

CONTRATACIÓN & UBICACIÓN

La contratación será mediante contrato anual prorrogable como autónomo en jornada completa.

El trabajo se desarrollará en remoto preferentemente dentro del horario de oficina del cliente para facilitar la coordinación con el resto del equipo.

Banda salarial negociable en función de la experiencia aportada.

Incorporación inmediata.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide


Real-time MLOps Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for MLOps Engineer in Madrid, Spain, highlighting market share and opportunities for professionals in MLOps Engineer roles.

79962 Jobs in Spain
79962
23587 Jobs in Madrid
23587
Download Mlops Engineer Jobs Trends in Madrid and Spain

Are You Looking for MLOps Engineer Job?

Great news! is currently hiring and seeking a MLOps Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at WayOps adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Spain laws and regulations

What Is the Average Salary Range for MLOps Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Madrid. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for MLOps Engineer?

Key qualifications for MLOps Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for MLOps Engineer?

To improve your chances of getting hired for MLOps Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for MLOps Engineer Job Success

WayOps interview tips for MLOps Engineer

Here are some tips to help you prepare for and ace your MLOps Engineer job interview:

Before the Interview:

Research: Learn about the WayOps's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your MLOps Engineer interview at WayOps, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the WayOps's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for MLOps Engineer Positions

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