Responsibilities
- Design and implement an ML platform orchestrating data processing, training, evaluation, and deployment workflows.
- Develop reliable workflows across cloud compute, Kubernetes, and continuous automation.
- Build model registry, feature store, experiment tracking, and related ML infrastructure components.
- Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
- Implement continuous integration and delivery for ML, including continuous retraining, automated testing, and model delivery to production.
- Integrate ML orchestration and metadata tracking tools with existing data lakes and pipelines.
- Apply MLOps practices including reproducibility, lineage, rollback, monitoring, and governance.
- Collaborate with AI researchers, robotics engineers, data engineers, and platform teams to deliver scalable systems.
- Mentor junior engineers and influence the broader cloud platform organization’s roadmap.

Requirements
- 5+ years of software engineering experience, including at least 2+ years working on ML infrastructure,



data platforms, or production MLOps systems.
- Experience building and maintaining ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
- Familiarity with MLflow, WandB, Airflow, Kubeflow, or similar orchestration and tracking tools.
- Proficiency with AWS, GCP, or Azure, containers, and infrastructure-as-code tools such as CDK or Terraform.
- Hands-on experience processing or modeling multimodal data such as sensor logs, camera streams, and behavior traces.
- Ability to collaborate with research scientists, data engineers, and robotics or autonomy teams.
- Experience with robotics, autonomous vehicles, drones, or embedded ML is a bonus.
- Contributions to open-source ML infrastructure or MLOps tooling are a bonus.
- Applicants must have current authorization to work in the United States.

Benefits
- Remote-friendly role with a fully distributed

📌 Senior Software Engineer (España)
🏢 Agility Robotics
📍 España