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Senior MLOps Engineer for AI Production Deployment in Madrid

Babel Sistemas seeks a seasoned Senior MLOps Engineer to spearhead Artificial Intelligence projects in Madrid, Spain.

This role involves the end-to-end development, deployment, and meticulous maintenance of cutting-edge AI solutions within live production environments.

You will collaborate closely with Data Science and DevOps teams to architect scalable and reliable AI systems, driving innovation in the field.

Successful candidates will benefit from these best career opportunities.

A unique opportunity to contribute to advanced AI initiatives, this position demands at least four years of hands-on experience in AI production environments.

Expertise in Python, SQL, and Kubernetes is essential for success, alongside proven experience in building robust ETL pipelines and RESTful APIs.

This is a prime role for professionals looking to advance their careers in AI deployment, offering a dynamic work environment focused on technological excellence and impactful AI solutions.

Private
full-time
Spain

Jobs Date Posted: 03 November, 2026
Jobs Last Date to Apply: 18 December, 2026
Industry: Artificial Intelligence
Jobs Industry Type: Private
Job Hiring Organization: Babel Sistemas
Experience Required (In months): 48
Occupational Category: Machine Learning Operations
Employment Type: full-time
Advertisement Source: Eurojobs
Job Location: Madrid
Country of Appointment: Spain
🎓 Qualifications Required
BA
📌 Job Positions:

Further Details

Join Babel Sistemas as a Senior MLOps Engineer and play a pivotal role in deploying advanced AI solutions into production in Madrid. This role emphasizes collaboration across Data Science and DevOps to ensure scalable and reliable AI systems are developed and maintained effectively. We are looking for candidates with significant experience, specifically over 4 years in AI production environments, demonstrating strong capabilities in Python, SQL, and Kubernetes. Familiarity with ETL pipelines and REST APIs is crucial for this position. This career opportunity is ideal for an experienced MLOps professional aiming to shape the future of AI deployment within a forward-thinking company.

Senior MLOps Engineer for AI Production Deployment in Madrid

Babel Sistemas is actively seeking a skilled Senior MLOps Engineer to join their innovative team in Madrid, Spain. This role is central to advancing Artificial Intelligence projects by managing the entire lifecycle of AI solutions, from development and deployment to ongoing maintenance in production environments. The successful candidate will foster strong collaboration with Data Science and DevOps departments to ensure the creation and upkeep of highly scalable and dependable AI systems. This is an excellent opportunity for professionals dedicated to pushing the boundaries of AI deployment.

The ideal candidate will possess a minimum of four years of practical experience in AI production settings, demonstrating a deep understanding of the challenges and best practices involved. Essential technical proficiencies include advanced skills in Python and SQL, alongside a strong command of Kubernetes for orchestration. Furthermore, hands-on experience in building and managing efficient ETL pipelines and designing robust RESTful APIs is crucial for this position. This role offers a chance to significantly impact AI projects within a dynamic and growth-oriented organization.

Key Position Highlights:

  • Job Title: Senior MLOps Engineer
  • Location: Madrid, Spain
  • Company: Babel Sistemas
  • Required Experience: 4+ years in AI production
  • Core Skills: Python, SQL, Kubernetes, ETL, REST APIs
  • Focus: AI deployment and production lifecycle management

Skills

  • Minimum 4 years of experience in AI production
  • Proficiency in Python
  • Proficiency in SQL
  • Expertise in Kubernetes
  • Experience with ETL pipelines
  • Experience with REST APIs

Duties and Responsibilities:

  • Develop AI solutions for production environments
  • Deploy AI solutions into production
  • Maintain AI solutions in production
  • Collaborate with Data Science teams
  • Collaborate with DevOps teams
  • Ensure scalable and reliable AI solutions

How to apply

  • Explore the Opportunity: Visit the Eurojobs platform to view the complete job details for the Senior MLOps Engineer role. 👉 https://eurojobs.com/jobs/36916831/apply
  • Prepare Your Application: Ensure your Curriculum Vitae (CV) clearly highlights your relevant experience, particularly your 4+ years in AI production, proficiency in Python, SQL, Kubernetes, and experience with ETL pipelines and REST APIs. 📝
  • Submit Your Application: Navigate to the dedicated application link provided on Eurojobs to formally submit your interest. Explore these career development with competitive benefits. 🚀
  • Application Deadline: Please note that all applications must be submitted by the closing date of December 18, 2026. Late submissions will not be considered. ⏳
  • Contact Information: While direct contact details are not provided, the application link is the primary channel for submission. Successful candidates will benefit from these latest jobs. 📧
  • Location: The role is based in Madrid, Spain. 📍


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