Senior MLOps Engineer

Description

Summary: The MLOps Specialist will enhance digital capabilities by efficiently deploying and maintaining AI applications, bridging the gap between Data Science and IT Operations. Highlights: 1. Focus on enhancing digital capabilities with AI applications 2. Bridge the gap between Data Science and IT Operations 3. Collaborate with Data Scientists, Product Owners, and CTOs **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. **Talan at 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 revenue this 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.** **Job Description** **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** * Collaborate closely with **Data Scientists, Product Owners, and CTOs** to deliver AI solutions aligned with business needs. **Qualifications** **Requirements** * 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. **Additional Information** **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!**