MLOps Engineer

Smadex

  • Barcelona
  • Permanente
  • Tiempo completo
  • Hace 2 días
  • Solicite fácilmente
is a leading advertising technology company founded in Barcelona in 2011 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, and 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 ML Ops Engineer to integrate our MLOps team. The ideal candidate will have a strong background in Python coding and some knowledge of MLOps industry practices. The role also requires involvement in automation tasks for the ML team.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, dashboards, reports.
  • Troubleshoot issues in real-time and ensure high availability of deployed systems.
  • Collaborate with the machine learning team (ML) 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:
  • Master’s degree in Computer Science
  • 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.
Extra points for :-)
  • 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).
Reward package:
  • Integrate a highly motivated and young team
  • Great compensation package
  • Top location at the heart of Barcelona in a penthouse office with rooftop terrace, Barbeque and fully stocked fridge
  • Good work-life balance: 2 days working from home, flexible hours
  • LinkedIn learning and training opportunities
  • Meal vouchers - Tickets Restaurant monthly allowance
  • Monthly gym allowance to use in up to the 30 DIR gyms around the city
  • Monthly TGIF events
  • Regular team-building events
  • Fun and friendly work environment with talented marketers and engineers from over 40 countries!
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