Senior MLOps Engineer

Talan; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A global consulting group is seeking an MLOps Specialist to enhance digital capabilities by deploying AI applications. This hybrid position in Madrid, Spain, involves developing and maintaining AI models, managing deployments with Kubernetes, and ensuring code quality through CI/CD pipelines. Ideal candidates should have experience with Python, ETL processes, and testing frameworks. The role includes collaboration with cross-functional teams and offers benefits like private medical insurance and opportunities for career development.

Servicios

Private medical insurance

Life insurance

Language lessons

Training and career development

Smart Office Pack

Formación

• Experience implementing AI models using Python.
• Hands-on experience with Kubernetes for deployment and management.
• Experience performing ETL processes using Python and Spark.
• Experience building and maintaining APIs for AI/ML applications.
• Experience using Git for version control.
• Experience implementing CI/CD pipelines using GitHub Actions, Sonar, and Fortify.
• Experience with testing frameworks such as Pytest.
• Experience monitoring and maintaining production projects.
• Experience using workflow orchestration tools such as Control-M and Airflow.
• Ability to collaborate effectively with cross-functional teams.

Responsabilidades

• Develop and maintain AI applications using Python.
• Deploy and manage AI applications with Kubernetes.
• Perform ETL processes using Python and Spark.
• Build and maintain APIs related to AI/ML solutions.
• Ensure code quality with Git for version control.
• Implement CI/CD pipelines using tools such as GitHub Actions.
• Conduct testing with frameworks like Pytest.
• Monitor and maintain AI/ML projects in production environments.
• Use orchestration tools like Control-M and Airflow.
• Collaborate with stakeholders including Data Scientists and Product Owners.

Conocimientos

AI models using Python

Kubernetes

ETL processes using Python and Spark

APIs for AI/ML

Git for version control

CI/CD pipelines using GitHub Actions, Sonar, and Fortify

Testing frameworks like Pytest

Monitoring production projects

Workflow orchestration tools like Control-M and Airflow

Cross-functional team collaboration

Descripción del empleo

Company Description

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Weat a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenuethis year.

Our Core Areas of Expertise

• Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
• Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
• Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

About the Role

The MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications. This position bridges the gap between Data Science and IT Operations to improve operational efficiency and involves close collaboration with multiple departments to design and implement robust AI solutions.

Key Responsibilities

• Develop and Maintain AI Applications: Implement AI models using Python.
• Deploy and manage AI applications using Kubernetes.
• Perform ETL processes using Python and Spark.
• Build and maintain APIs related to AI/ML solutions.
• Ensure Code Quality and Build Deployment Pipelines: Use Git for version control.
• Implement CI/CD pipelines using tools such as GitHub Actions, Sonar, and Fortify.
• Conduct testing using frameworks such as Pytest.
• Monitor and maintain AI/ML projects in production environments.
• Use orchestration tools such as Control-M and Airflow.
• Collaborate with stakeholders: Work with Data Scientists, Product Owners, and CTOs to deliver AI solutions aligned with business needs.

Qualifications

• Experience implementing AI models using Python.
• Hands-on experience with Kubernetes for deployment and management.
• Experience performing ETL processes using Python and Spark.
• Experience building and maintaining APIs for AI/ML applications.
• Experience using Git for version control.
• Experience implementing CI/CD pipelines using GitHub Actions, Sonar, and Fortify.
• Experience with testing frameworks such as Pytest.
• Experience monitoring and maintaining production projects.
• Experience using workflow orchestration tools such as Control-M and Airflow.
• Ability to collaborate effectively with cross-functional teams, including Data Scientists, Product Owners, and CTOs.

What do we offer you?

• Hybrid position based in Madrid, Spain
• Possibility to manage work permits.
• Permanent, full-time contract.
• Smart Office Pack so that you can work comfortably from home.
• Training and career development.
• Benefits and perks such as private medical insurance, life insurance, language lessons, etc.
• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development & tech, we want to meet you!