Take your career to the next level with Amaris Consulting as an MLOps Engineer. Become part of an international team, thrive in a integral group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.

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- 3 to 5 years of experience designing and implementing MLOps solutions.
- Strong experience with AWS, including infrastructure implementation, automation, and security management.
- Hands‑on experience with Terraform and Infrastructure as Code (IaC).
- Solid experience with Kubernetes, including deployment, cluster management, and automation of containerized applications.
- Knowledge of MLOps frameworks and tools such as MLflow, Kubeflow, TFX, and Apache Airflow.
- Experience working with Machine Learning workflows and production environments.




- Strong programming skills in Python.
- Experience with CI/CD practices, version control systems, and monitoring tools.
- Strong problem‑solving and analytical skills.
- Excellent communication and collaboration abilities.
- Professional working proficiency in English.
- Good command of Spanish.
- Based in Barcelona or willing to work in a 50% hybrid model.
- Design, implement, and maintain scalable MLOps platforms and solutions.
- Build and manage cloud infrastructure on AWS following best practices for security, scalability, and automation.
- Develop and maintain Infrastructure as Code using Terraform.
- Deploy, manage, and optimize Kubernetes clusters and containerized workloads.
- Implement and improve Machine Learning workflows using tools such as MLflow, Kubeflow, TFX, and Apache Airflow.
- Automate deployment, monitoring, and lifecycle management of machine learning models.
- Collaborate with Data Scientists

📌 MLOps Engineer (Barcelona)
🏢 Amaris Consulting
📍 Barcelona