Machine Learning Engineer (MLOps)

Barcelona, Barcelona, Spain

Full Time

Experienced

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. 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:

3+ 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 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 rooftop terrace, Barbeque and fully stocked fridge
Good work-life balance: 2 days working from home, flexible hours
Meal vouchers - Tickets Restaurant monthly allowance
Private Health Insurance
LinkedIn learning and training opportunities
Monthly gym allowance
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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Machine Learning Engineer (MLOps)

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