Take your career to the next level with Amaris Consulting as a
MLOps Engineer
.
Become part of an international team, thrive in a integral 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.
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
.
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
.
Implement and optimize ML workflows using tools such as
MLfl

📌 Mlops Engineer (España)
🏢 Amaris Consulting
📍 España