AI Engineer - Production & MLOps  

Powering the world’s first Large Marketing Model! 

Are you an AI engineer with a knack for building robust, scalable, and efficient systems? Do you love getting your hands dirty with data pipelines, MLOps tools, and ensuring cutting-edge models run flawlessly in production? Do you want to join an existing, high-output team of academic and professional experts to tackle one of the most complex and fun challenges in advertising by making their innovations operational? If so, we’d love to meet you! 

Our team is embarking on a highly strategic project, Open Intelligence, at the intersection of data science, advertising technology, and audience insights. While our data scientists focus on groundbreaking AI research, we need your engineering prowess to bring these models to life. This is a unique opportunity for you to work alongside and learn from a talented group of engineers and data scientists as we build and maintain the MLOps infrastructure that supports next-generation approaches using pretrained embeddings, multi-modal models, and large-scale neural networks. 

What You’ll Do: 

• Implement, maintain and generalize scalable, production-grade MLOps pipelines and infrastructure, ensuring the seamless deployment, monitoring, and maintenance of our advanced AI models in GCP. 
• Contribute to the development of model serving, data versioning, feature stores, and automated model retraining solutions, leveraging your experience in cloud platforms, containerization, and orchestration tools. 
• Collaborate closely with our team of 14+ data scientists and engineering peers to translate research prototypes into robust, production-ready systems, applying best practices for code quality, testing, and deployment. 
• Support the exploration and adoption of new technologies and tools to optimize our AI development and deployment lifecycle, focusing on efficiency, reliability, and cost-effectiveness. 
• Actively participate in a culture of operational excellence, automation, and continuous improvement within the team, learning from and contributing to the collective knowledge. 
• Assist with monitoring, alerting, and troubleshooting of production AI systems, ensuring high availability and performance. 

 
Who You Are: 

• You have a strong academic background (Master’s or PhD in Computer Science, Engineering, or related field), with some practical experience in MLOps, ML Engineering, or Data Engineering. 
• You are passionate about building robust, efficient, and automated systems that enable cutting-edge AI research to deliver real-world impact. 
• You have practical experience with Python and scalable ML frameworks (PyTorch, TensorFlow), maybe coupled with familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and orchestration tools (Airflow, Kubeflow). 
• You have a solid understanding of data engineering principles, including ETL concepts, data warehousing, and distributed processing (Spark, Flink). 
• You are a strong team player who values open communication, actively listens to feedback, and thrives in an environment of continuous learning and mutual support. You are eager to empower data scientists with robust operational capabilities and contribute to a strong engineering culture. 

 

Why Join Us? 

• We value great minds: And we’re making a team of them! 
• Power the Backbone of AI: Be a vital player in building the MLOps and production infrastructure that powers the future of advertising and audience modeling. 
• Enable Cutting-Edge Research: Your work will directly enable our data scientists to deploy groundbreaking AI models, making a tangible impact on strategic outcomes. 
• Grow Your Expertise: Work with massive, industry-scale datasets and the latest MLOps technologies. Learn from experienced engineers and data scientists, and solve complex operational challenges. 
• Never Stop growing: Work within a highly collaborative engineering team. We foster an environment of mutual learning, where every team member, regardless of experience, is both a teacher and a student. 
• We build AI, we are not AI: We understand that work-life balance matters and know that even great minds are people first. 

 

If you’re ready to build, optimize, and maintain the operational foundations for high-stakes AI projects with real-world impact, apply now to join my team and help us redefine the future of audience modeling!