Senior MLOps Engineer at Talan

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Kubernetes, ETL, Spark, APIs, Git, CI/CD, GitHub Actions, Sonar, Fortify, Testing, Pytest, Monitoring, Control-M, Airflow, Collaboration

Industry

IT Services and IT Consulting

Description

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! Contract Type: Permanent contract

Responsibilities

The MLOps Engineer will develop and maintain AI applications, implementing AI models and managing deployments. They will also ensure code quality and build deployment pipelines while collaborating with various stakeholders.