Senior MLOps Engineer

Description

Job Summary: Amaris Consulting is seeking a Senior MLOps Engineer to industrialize, scale, and operate Machine Learning solutions in a cloud-native environment. Key Highlights: 1. Design and implement end-to-end MLOps solutions. 2. Collaborate with multidisciplinary teams on MLOps and cloud-native architectures. 3. Continuous training, certifications, and professional development. Job description About the role At Amaris Consulting, we are looking for a Senior MLOps Engineer to join one of our key projects and help industrialize, scale, and operate Machine Learning solutions in a cloud\-native environment. You will work alongside Data Science, Data Engineering, and DevOps teams to design robust, secure, and automated ML platforms and pipelines. Main responsibilities Design, implement, and maintain MLOps solutions covering the entire ML lifecycle: model training, validation, deployment, and monitoring. Build and manage infrastructure on AWS, ensuring scalability, reliability, automation, and security. Define and implement Infrastructure as Code using Terraform for repeatable and auditable deployments. Deploy and operate Kubernetes clusters and manage containerized ML applications in production environments. Implement and maintain ML workflows and orchestration using tools such as MLflow, Kubeflow, TFX, and Apache Airflow. Configure and enhance CI/CD pipelines for ML models and data pipelines, including testing, versioning, and automated deployment. Implement monitoring, logging, and alerting for ML services and infrastructure, ensuring performance, reliability, and cost optimization. Collaborate with multidisciplinary teams, providing best practices and guidance on MLOps and cloud\-native architectures. Requirements Experience 3–5 years of experience designing and implementing MLOps solutions in production environments. Solid experience with AWS (infrastructure implementation and management, automation, and security). Proven experience with Terraform for Infrastructure as Code. Hands-on experience with Kubernetes (cluster deployment and management, and automation of containerized applications). **Knowledge and use of MLOps frameworks and tools:** MLflow, Kubeflow, TFX, Apache Airflow, or similar. Strong proficiency in at least one programming language (preferably Python), version control (Git), and CI/CD. Experience in monitoring and observability (Prometheus, Grafana, CloudWatch, or similar). Strong teamwork, problem-solving, and effective communication skills. Languages Spanish — advanced level **English:** B2 level Nice to have Experience with other cloud providers (GCP, Azure). Knowledge of data engineering tools and the modern data stack. Experience working in agile environments (Scrum, Kanban). Work model **Hybrid model:** Remote work with the option to visit the Palau-solità i Plegamans office (direct bus service). Why join Amaris? An international and multicultural environment with global projects. Continuous training, certifications, and practice communities. Professional development plans and internal mobility. Competitive compensation package and a flexible, people-centric culture. Amaris Consulting is proud to be an equal opportunity employer. We are committed to promoting diversity within the company and creating an inclusive environment. Therefore, we welcome all qualified applicants regardless of gender, sexual orientation, race, ethnic origin, beliefs, age, marital status, disability, or other characteristics. Who are we? Amaris Consulting is an independent technology consulting firm that provides guidance and solutions to businesses. With more than 1,000 clients worldwide, we have been delivering solutions for major projects for over a decade — made possible by an international team of 7,600 professionals across 5 continents and more than 60 countries. Our solutions focus on four Business Lines: Information Systems \& Digital, Telecom, Life Sciences, and Engineering. We focus on building and nurturing a top-tier talent community where every team member can reach their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges, and achieve all your projects successfully. At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and provide timely, meaningful feedback. Here's what our recruitment process looks like: **Brief Call:** Our process typically begins with a brief virtual or phone conversation to get to know you! The objective? Learn about you, understand your motivations, and ensure we have the right job for you! Interviews (the average number of interviews is 3 \- the number may vary depending on the seniority level required for the position). During the interviews, you will meet people from our team: your line manager, of course, but also others related to your future role. We’ll discuss you, your experience and skills in depth, as well as the position and expectations. Of course, you’ll also learn about Amaris: our culture, our roots, our teams, and your career opportunities! **Case study:** Depending on the position, we may ask you to complete a test. This could be a role play, a technical assessment, a problem\-solving scenario, etc. As you know, every person is different and so is every role in a company. That is why we adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you!