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About the Role
Seedtag is seeking an MLOps Engineer to scale and maintain the infrastructure behind Liz, their contextual AI. This role ensures reliable, efficient, and low-latency ML model deployment across the open web and Connected TV.
Responsibilities
- Deploy, maintain, and optimize ML models in production, ensuring performance, reliability, and latency standards.
- Build and improve pipelines for dataset generation, model training, validation, and performance analysis.
- Implement monitoring, dashboards, drift detection, and alerting to ensure model quality and stability.
- Improve CI/CD pipelines, model versioning, reproducibility, and infrastructure automation.
- Identify opportunities to reduce serving costs and improve efficiency without compromising model quality.
- Develop internal automations and agentic integrations to streamline ML workflows.
- Collaborate with Data, Platform, and Backend teams to troubleshoot production issues and improve ML systems.
Requirements
- 2–4 years of experience building, deploying, and maintaining ML systems in production.
- Strong Python skills, including APIs, asynchronous programming, testing, and clean architecture.
- Hands-on experience with ML model development and production deployment.
- Solid understanding of MLOps practices, including CI/CD, model versioning, reproducibility, and monitoring.
- Experience with ML observability, including performance metrics, dashboards, and alerting.
- Knowledge of distributed systems, microservices, Kubernetes, and cloud infrastructure.
- Strong troubleshooting skills across models, data pipelines, APIs, and infrastructure.
- Proactive, curious, and autonomous, with the ability to own technical components end to end.
Skills
- Python
- APIs
- Asynchronous programming
- Testing
- Clean architecture
- ML model development
- Production deployment
- MLOps practices
- CI/CD
- Model versioning
- Reproducibility
- Monitoring
- ML observability
- Performance metrics
- Dashboards
- Alerting
- Distributed systems
- Microservices
- Kubernetes
- Cloud infrastructure
- Troubleshooting
- GCP
- Vertex AI
- Kubernetes
- Terraform
- MLflow
- Weights & Biases
- Evidently
- Prometheus
- Grafana
- Kafka
- Redis
- Bigtable
- MongoDB
- NLP
- Embeddings
- Ranking models
- MCP
- Agentic workflows
Location
- Remote
- Hybrid
Work Type
- 100% remote
- Hybrid
Experience Level
- 2-4 years of experience
Benefits
- Flexible work model
- 100% remote or hybrid options
- Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.
- Continuous learning through a learning platform
- Optional language classes
- Supportive, trust-based culture
- Well-being focus
- Team activities
- Offsites
- Home office setup budget up to €1,000
- Paid trips to HQ in Madrid
- MacBook Pro M3
About the Company
- Seedtag's mission is to transform advertising by proving that effectiveness and user privacy can coexist.
- As the leading Neuro-Contextual Advertising Company, they combine AI, NLP, Computer Vision, and neuroscience.
- Their proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking.
- Founded in 2014, Seedtag has grown to 500+ employees in 17 countries, backed by €250M in funding, and operates as a global ad-tech leader.
Equal Opportunity
- Seedtag creates an environment where everyone can thrive.
- Accommodations are available during the hiring process to ensure a positive experience.