ML Engineer and MLOps Lead for Cutting-Edge Ad-Tech
hace 4 días
We are Smadex, a pioneering advertising technology company based in Barcelona, founded in 2011. We were acquired by Entravision, an American-based publicly-traded company listed on the NYSE (EVC), in 2018. Our company has established itself as one of the leading mobile ad-tech companies globally, competing with top players such as Liftoff and Moloco, both pre-IPO stage with average yearly revenues of around $1000M.
Our industry is characterized by advanced technologies like Machine Learning, Data Science, and cloud-based big data architectures that drive growth. We're seeking ambitious engineers who are driven to learn cutting-edge technologies used by leaders like Google and Facebook, and help us become the largest mobile programmatic advertising platform worldwide.
Our mission is to continuously enhance our ad-tech platform to assist clients in achieving their programmatic advertising campaign objectives, while providing our employees with engaging work experiences where they can contribute significantly to results through hands-on engineering and data analysis.
Our algorithms play a critical role in estimating the probability of user actions after viewing ads, similar to those developed by Google. However, this must be done in nearly real-time, within less than 100ms, and repeated millions of times per second. Are you ready to join the new unicorn? Let's continue.
We are looking for an experienced MLOps Team Lead to oversee the deployment and monitoring of machine learning models in production environments. The ideal candidate will have a strong background in MLOps practices, experience with deploying and maintaining ML models, and leadership skills to guide a team of engineers specializing in Python programming. This role requires a balance of technical expertise and leadership abilities to deliver reliable, scalable, and efficient solutions.
Key Responsibilities:- Lead, mentor, and manage a team of MLOps engineers and Python developers.
- Foster collaboration within the team and across 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 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.
The salary range for this position is approximately $150,000 - $200,000 annually, depending on qualifications and experience. We offer a comprehensive benefits package including medical insurance, retirement plan, paid time off, and professional development opportunities.
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