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Senior MLOps Engineer
hace 1 mes
Senior MLOps Engineer – Remote (Spain) | 12-Month Contract (Autónomo)
We are looking for a Senior MLOps Engineer to join an exciting long-term project, working on the continuous development and operational management of a large-scale AI/ML platform. This is a fully remote role from Spain, offered on an autónomo/contract basis with an initial 12-month duration (extension likely).
💶 Rate: 35–45€/hour (depending on experience)
🌍 Location: Remote within Spain
📄 Contract: Autónomo (12 months initial)
🔧 Role Overview
The ideal candidate will play a pivotal role in the operational management and continuous development of the client Data and Insights Platform, ensuring its reliability and efficiency in enabling rapid AI solutions deployment across.
Key Responsibilities:
- Lead operational management and continuous development, aligning with business needs for rapid AI deployment, overseeing strategic planning and execution.
- Install, configure, and manage key platform components, such as the Seldon application, Istio, Elasticsearch, Prometheus, and Grafana. Ensure seamless integration and optimal performance.
- Collaborate closely with the infrastructure team to optimize underlying resources and configurations, ensuring alignment with Seldon and associated ML workloads.
- Develop and enhance application components, contributing to the platform's evolution and extended functionalities. Monitor, troubleshoot, and resolve platform issues, while documenting operational procedures, best practices, and guidelines. Stay updated on Kubernetes and MLOps advancements for continuous innovation and improvement.
- Write and maintain Python code for platform enhancements and custom solutions, operate and maintain in a production environment, ensuring high availability, performance, and security. Provide hands-on MLOps support to data scientists for model deployment.
Required Skills and Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong experience in Kubernetes management, with expertise in Seldon being advantageous.
- Proficient in CI/CD, (Azure) DevOps, application security, and performance monitoring.
- Familiarity with tools like ArgoCD, Istio, Terraform, Opensearch, Prometheus, and Grafana.
- Solid grasp of Python, FastAPI, general API concepts, unit testing, etc.
- IMPORTANT: Proficiency in MLOps practices (MLFlow preferred) and experience supporting data scientists in a machine learning deployment environment.
- Solid understanding of cloud services, preferably AWS, along with experience in maintaining large-scale platforms.
📩 How to Apply
If you're a senior-level MLOps Engineer based in Spain and interested in a long-term remote contract, please send your CV or LinkedIn profile for immediate consideration.
