MLops Engineer

Your main responsibilities will include

• ML Model Deployment: Deploy, maintain, and optimise ML models in production, ensuring performance, reliability, and latency standards.

• Data Pipelines: Build and improve pipelines for dataset generation, model training, validation, and performance analysis.

• Model Observability: Implement monitoring, dashboards, drift detection, and alerting to ensure model quality and stability.

• MLOps Infrastructure: Improve CI/CD pipelines, model versioning, reproducibility, and infrastructure automation.

• Performance & Cost Optimisation: Identify opportunities to reduce serving costs and improve efficiency without compromising model quality.

• AI Automation: Develop internal automations and agentic integrations to streamline ML workflows.

• Cross-Functional Collaboration: Work closely with Data, Platform, and Backend teams to troubleshoot production issues and improve ML systems.
  

What You’ll Need to Succeed

• 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.
  

Why Join Seedtag?

• 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, UK, Belgium, Netherlands, France, 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.
  

Additional Perks

• Home office setup budget up to €1,000

• Paid trips to our HQ in Madrid

• MacBook Pro M3