Take your career to the next level with Amaris Consulting as a MLOps Engineer. Become part of an international team, thrive in a general group with €800M turnover and 1,000+ clients worldwide, and work in an agile environment designing, implementing, and optimizing scalable Machine Learning platforms.

Join Amaris Consulting, where you can develop your potential, take ownership of challenging MLOps initiatives, and grow towards future technical leadership opportunities.

WHAT WOULD YOU NEED? ✍️
- 2+ years of hands-on experience designing and implementing MLOps solutions.
- Strong experience with AWS, including cloud infrastructure implementation and management, automation, and security.
- Hands-on experience with Terraform for Infrastructure as Code (IaC).
- Strong experience with Kubernetes, including deployment, cluster management, and automation of containerized applications.
- Experience with MLOps frameworks and orchestration tools such as MLflow, Kubeflow, TFX and/or Apache Airflow.
- Solid understanding of the Machine Learning lifecycle,



from experimentation and training to deployment, monitoring, and continuous improvement.
- Strong programming skills, ideally Python, as well as experience with version control and CI/CD practices.
- Knowledge of monitoring and observability practices in ML and cloud environments.
- Fluent English and Spanish, as you will work in an international environment.
- Strong problem-solving, communication, and collaboration skills.
- Based in or around Barcelona, with availability to work in a 50% hybrid model.

? WHAT WILL YOU DO? ?
- Design, implement, and maintain scalable MLOps platforms and pipelines.
- Automate the end-to-end Machine Learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
- Build and manage cloud infrastructure on AWS.
- Create and maintain infrastructure using Terraform and Infrastructure as Code best practices.
- Deploy and operate containerized ML workloads using Kub

📌 MLOps Engineer (Barcelona)
🏢 Amaris Consulting
📍 Barcelona