Senior Machine Learning Engineer (MLOps)

Smadex; Barcelona; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading advertising technology company in Barcelona seeks a skilled Machine Learning Engineer to join the MLOps team. The ideal candidate will design and implement ML pipelines, develop automation workflows, and ensure the reliability of ML systems. A strong proficiency in Python and a good understanding of ML lifecycle and DevOps practices are needed. Join a motivated team in a vibrant work environment with great perks including flexible hours, health insurance, and more.

Servicios

Great compensation package

Flexible working option

Meal vouchers

Private Health Insurance

Monthly gym allowance

Regular team-building events

Formación

• 3+ years of experience in the ML Engineering field.
• Proficiency in Python and data related libraries.
• Good understanding of CI/CD pipelines.
• Experience in Linux environments.
• Fluency in English.

Responsabilidades

• Design, implement, and maintain end-to-end pipelines for ML model deployment.
• Develop automated workflows for CI/CD in ML systems.
• Implement monitoring and alerting systems for production ML models.
• Develop Python scripts for algorithmic decision making.
• Troubleshoot issues in real-time ensuring system availability.
• Collaborate with the Machine Learning team for model retraining.
• Write and maintain high-quality Python code.

Conocimientos

Python coding

Machine Learning lifecycle

MLOps best practices

CI/CD pipelines

Problem-solving skills

Analytical skills

Communication skills

Educación

Master's degree in Computer Science or related fields

Herramientas

Pandas

NumPy

AWS services

Docker

Kubernetes

Terraform

Descripción del empleo

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.

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.

Please note that we do not provide visa sponsorship. Candidates without a legal permit to work won't be considered.

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!