Summary: Join Smadex's MLOps team as a Senior Machine Learning Engineer to design, implement, and maintain end-to-end ML model deployment pipelines and automated workflows. Highlights: 1. Design and implement end-to-end ML model deployment and monitoring pipelines 2. Develop automated workflows for CI/CD in ML systems 3. Collaborate with the ML team to manage model retraining and updating processes **Smadex** is a leading advertising technology company founded in Barcelona in 2010 and sold to American\-based and stock\-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad\-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over \+$100M and consistently growing \+40% YoY over the past years. Our mission is to continue to improve our ad\-tech platform to help our clients achieve their programmatic advertising campaign goals. We want to give our employees a job they’ll love, where they will be challenged to improve results through real\-life engineering and data analysis and where everyone’s implication has an impact. **Are you ready to be part of the new unicorn? Keep reading!** We are seeking a highly skilled and motivated **Senior Machine Learning Engineer** to join our **MLOps team**. The ideal candidate will have a strong background in Python coding, and knowledge of the ML lifecycle and MLOps industry best practices. This role will be part of MLOps, a horizontal sub\-team within the ML team, that focuses on making the end\-to\-end ML lifecycle scalable, reliable and efficient. **What will you do:** * Design, implement, and maintain end\-to\-end pipelines for ML model deployment, monitoring, and lifecycle management. * Develop automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments. * Implement robust monitoring and alerting systems for production ML models to ensure performance and reliability. * Develop and improve Python scripts responsible for algorithmic decision making, generating alarms, data quality and model quality dashboards. * Troubleshoot issues in real\-time and ensure high availability of deployed systems. * Collaborate with the Machine Learning team to manage model retraining and updating processes. * Write, review and maintain high\-quality Python code for MLOps tooling and automation. **What you need to have:** * 5\+ years of experience in the ML Engineering field. * Proficiency in Python and familiarity with data related processing libraries (e.g., Pandas, NumPy). * Good understanding of CI/CD pipelines and DevOps practices * Strong Interest in machine learning topics * Experience in Linux environments * Fluency in English is mandatory * Possesses good communication skills both verbal and written * Strong problem\-solving and analytical skills. **Please note that we do not provide visa sponsorship. Candidates without a legal permit to work in Spain won't be considered.** **Extra points for :\-)** * Master’s degree in Computer Science or related fields * Familiarity with AWS services such as EMR, EC2, Athena, S3 * Hands\-on experience with ML workflow orchestration tools (e.g., Airflow, MLflow). * Experience with cloud platforms (preferable AWS) and containerization technologies (Docker, Kubernetes). * Knowledge in infrastructure tools (IaC) like Terraform. **Reward package:** * Integrate a highly motivated and young team. * Great compensation package. * Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge. * Work from home: 2 days/week * Private Health Insurance * Access to LinkedIn Learning * Meal vouchers \- Tickets Restaurant monthly allowance. * Monthly gym allowance: Choose between DiR Gym and Wellhub * Monthly TGIF events. * Regular team\-building events. * Fun and friendly work environment with talented marketers and engineers from over 40\+ countries * And more! E1cSUkNgOo