Machine Learning Engineer
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- Milano
- Tempo indeterminato
- Full time
- Build cutting-edge AI to optimise revenue flow while ensuring the needs of publishers and advertisers are met.
- Research, design, test, deploy, and maintain AI models in a fully online environment to maximise margins, reduce operational costs, and enhance Seedtag’s targeting capabilities.
- Design and implement classical ML algorithms and control systems to ensure delivery of internal campaigns and maximise monetisation outcomes.
- Build end-to-end data pipelines to train, validate, and analyse production model behaviour through custom dashboards.
- Continuously improve our MLOps infrastructure, CI/CD pipelines, internal automations, and AI-supported workflows.
- Collaborate closely with Data, Platform, and Backend Engineers to build services and infrastructure, from dataset generation to live model validation.
- Python & Go microservices
- Kafka, Kinesis, Redis, GCS
- Kubernetes on GCP & AWS
- Druid, MongoDB, scalable data lake architecture
- Typescript (Node.js) and Scala across other parts of the company
- 2–4 years of experience building and deploying ML systems in production.
- Strong Python skills and solid software engineering fundamentals (APIs, async programming, testing, clean architecture).
- Experience working on both model development and production deployment.
- Understanding of distributed systems, microservices, and cloud-native environments.
- Familiarity with MLOps practices: model versioning, monitoring, CI/CD, reproducibility.
- Experience with NLP, embeddings, and/or ranking models is a plus.
- Comfortable debugging across layers: model behaviour, data issues, API performance, infrastructure bottlenecks.
- Strong ownership mindset and ability to operate autonomously in fast-moving environments.
- A key moment of growth with real ownership and global impact.
- Flexible work model with 100% remote or hybrid options. (Remote contracts available in Spain, Italy, the UK, Belgium, the Netherlands, and Germany.)
- Continuous learning through a learning platform and optional language classes.
- A supportive, trust-based culture that values well-being.
- Team activities, offsites, and opportunities to connect beyond work.
- Home office setup budget up to €1,000
- Paid trips to our HQ in Madrid
- MacBook Pro M3