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

Kubernetes .

📌 MLOps Engineer (Madrid)
🏢 Amaris Consulting
📍 Madrid