MLops Engineer
Job description
MLOps Engineer at Seedtag responsible for scaling and maintaining the infrastructure behind Liz, the company's contextual AI, ensuring reliable, efficient, low-latency ML model deployment across the open web and Connected TV.
At a glance
- Work mode
- Remote
What you'll do
- Deploy, maintain, and optimise 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
- Work closely with Data, Platform, and Backend teams to troubleshoot production issues and improve ML systems
What we're looking for
- 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
Your team
tech team
Works on LizCore, the contextual AI infrastructure supporting real-time ML model serving across the open web and CTV
Benefits
- Flexible work model with 100% remote or hybrid options
- 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
Apply
About Seedtag
The leading Neuro-Contextual Advertising Company
Seedtag combines Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next. Its proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking.
Mission
To transform advertising by proving that effectiveness and user privacy can truly coexist.
Key facts
- 500+ Seedtaggers
- 2014
- Madrid
- Neuro-Contextual Advertising
- Founded in 2014 by two ex-Googlers
- 500+ Seedtaggers in 17 countries
- Backed by €250M in funding
- Operates as a global ad-tech leader
- Proprietary AI named Liz
What they value
- Outcome over Output
- Failure Is Allowed, Learning Is a Must
- We Are All Scouts
- We Are Data-Driven