Machine Learning Engineer

Ml Engineer

Smadex 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 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:

1. Design, implement, and maintain end-to-end pipelines for ML model deployment, monitoring, and lifecycle management.
2. Develop automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments.
3. Implement robust monitoring and alerting systems for production ML models to ensure performance and reliability.
4. Develop and improve Python scripts responsible for algorithmic decision making, generating alarms, dashboards, reports.
5. Troubleshoot issues in real-time and ensure high availability of deployed systems.
6. Collaborate with the machine learning team (ML) to manage model retraining and updating processes.
7. 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!