Senior MLOps Engineering Manager

hace 4 días

Barcelona, Barcelona, España Smadex A tiempo completo

About Smadex

Smadex is a leading mobile ad-tech company founded in Barcelona in 2011 and acquired by Entravision, a US-based publicly traded company (NYSE: EVC), in 2018. We are a top mobile ad-tech company globally, competing with industry leaders like Liftoff and Moloco.

We operate in a highly competitive technology-driven industry where Machine Learning, Data Science, and cloud-based big data architectures drive growth. We are seeking ambitious engineers who can learn the most advanced technologies used by Google and Facebook to help us become the largest mobile programmatic advertising platform worldwide.

Mission and Values

Our mission is to continually improve our ad-tech platform to help clients achieve their programmatic advertising goals. We want to give our employees a job they'll love, challenging them to improve results through real-life engineering and data analysis. Everyone's contribution has an impact, and our algorithms are at the core of the company, estimating user behavior after seeing ads, similar to Google, in nearly real-time, often several million times per second.

Job Title: Senior MLOps Engineering Manager

We are seeking a highly skilled and motivated Senior MLOps Engineering Manager to lead the deployment and monitoring of machine learning algorithms in production environments. The ideal candidate will have experience with deploying and maintaining ML models, strong leadership skills, and a background in MLOps practices. This role requires a balance of technical expertise and leadership skills to guide the team in delivering reliable, scalable, and efficient solutions.

Responsibilities

  • 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 Will Achieve:

This role offers a unique opportunity to lead the development of cutting-edge MLOps solutions and contribute to the growth of a leading mobile ad-tech company. If you are passionate about MLOps, AI, and innovation, we encourage you to apply. You will be working alongside a talented team of engineers and scientists to develop and deploy machine learning models that power our advertising platform.

Salary Range:

The estimated annual salary range for this position is $120,000-$180,000, depending on your level of experience and qualifications. Please note that the exact salary will be discussed during the interview process based on your background and our compensation package.

About You

We are looking for a highly motivated and experienced professional with a strong background in MLOps practices, software engineering, and leadership. A bachelor's degree in Computer Science or a related field and a minimum of 5 years of experience in MLOps or a related field are required. Strong communication and collaboration skills are essential for this role. Familiarity with AWS, Docker, Kubernetes, and Python programming is preferred.

How to Apply

If you are passionate about MLOps and AI and want to join a dynamic team of engineers and scientists, please submit your application, including your resume and a cover letter highlighting your relevant experience and skills.

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