Machine Learning Engineer (MLOps)

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. And with an incredible 100% growth last year.

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 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:

• 4-5 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!