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 currently considered one of the top mobile ad-tech companies in the world, competing with American-based Liftoff and Korean-based Moloco, both pre-IPO stage and averaging about $1000M in yearly revenues.
We compete in a highly advanced technology-driven industry where Machine Learning, Data Science and cutting-edge cloud-based big data architectures make all the difference in the company's growth.
We are looking for ambitious engineers whose ultimate motivation is to learn the most advanced technologies used in the ad-tech industry by the likes of Google and Facebook and to help us become the biggest mobile programmatic advertising platform in the world.
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.
Our algorithms are at the core of the company. They estimate the probability of a user performing an action after seeing an ad, similar to what Google does. This needs to be done in nearly real time, in less than 100ms, and this is happening several million times per second.
Are you ready to be part of the new unicorn? Keep reading!
We are seeking a highly skilled and motivated MLOps Team Lead to oversee the deployment and monitoring of machine learning algorithms in production environments. The ideal candidate will have a strong background in MLOps practices, experience with deploying and maintaining ML models,
and the ability to lead a team of engineers specializing in Python programming. This role requires a balance of hands-on technical expertise and leadership skills to guide the team in delivering reliable, scalable, and efficient solutions.
What will you do: Lead, mentor, and manage a team of MLOps engineers and Python developers.Facilitate collaboration within the team and across other departments to ensure seamless integration of ML systems.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.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.Evaluate and integrate state-of-the-art tools and technologies in the MLOps space. What you need to have: 5+ years of professional experience in MLOps, software engineering, or a related domain.Proven track record of deploying and maintaining ML models in production.At least 2 years of experience in a leadership or team management role.Fluency in English.Proficiency in Python and familiarity with its ML and data processing libraries (e.g., PyTorch, Pandas, NumPy).Experience with cloud platforms (preferable AWS) and containerization technologies (Docker, Kubernetes).Hands-on experience with ML workflow orchestration tools (e.g., Airflow, MLflow).Strong understanding of CI/CD pipelines and DevOps practices.Excellent communication skills, both verbal and written.Ability to mentor other team members.Strong problem-solving and analytical skills.Ability to foster a collaborative team, inter-team and company culture. Extra points for: Master's degree in Computer Science, Engineering, Applied Mathematics or related field.Familiarity with AWS services such as EMR, EC2, Athena, S3.Experience in Linux environments.Experience in digital marketing platforms and user acquisition. 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 21 countries!Exposure to leading global app publishers (Zynga, King, Rovio, EA, etc.) and media partners in the digital advertising industry.And more!
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