Job Summary: We are seeking an MLOps Engineer to bridge the gap between Data Science and Software Engineering, ensuring industrialization, automation, and monitoring of the Machine Learning model lifecycle in production environments. Key Highlights: 1. Design and automate Machine Learning pipelines (CI/CD). 2. Operationalize laboratory models into scalable microservices. 3. Collaborate with multidisciplinary teams on scalable solutions. Job description Who we are Amaris Consulting is an independent technology consulting firm with international presence in over 60 countries and more than 7\.500 professionals worldwide. We accompany our clients throughout their digital transformation journeys, combining technical excellence, strategic vision, and a strong human-centered approach. At Amaris, we do not assign our consultants to a single client: we build sustainable professional trajectories based on continuous development, mobility, and constant learning. Job Description As an MLOps Engineer, you will be responsible for bridging the gap between Data Science and Software Engineering, ensuring industrialization, automation, and monitoring of the Machine Learning model lifecycle in production environments. This role has a key impact on the scalability and efficiency of data-driven solutions, enabling ML models to transition from experimental environments to robust, automated, production-ready systems. Your missions Design and automate Machine Learning pipelines (CI/CD) for model training, validation, and deployment. Operationalize models by transforming them from laboratory environments (notebooks) into scalable microservices via APIs. Manage and optimize infrastructure in cloud and containerized environments. Implement best practices for versioning, monitoring, and governance of ML models. Orchestrate data and model workflows using specialized tools. Collaborate with multidisciplinary teams to ensure efficient, scalable, and business-aligned solutions. Your profile Minimum 2–3 years of experience in DevOps or Data Engineering roles with a focus on Machine Learning. Advanced proficiency in Python. Mandatory experience with Docker and Kubernetes. Experience with cloud platforms such as AWS (SageMaker), GCP (Vertex AI), or Azure ML. Knowledge of MLOps tools such as MLflow, Kubeflow, or DVC. Experience orchestrating workflows with Airflow or Prefect. Knowledge of SQL databases and familiarity with NoSQL concepts. Ability to work autonomously in dynamic and distributed environments. Intermediate-to-advanced English level (desirable). What we offer Participation in high-impact projects and complex technological environments with top-tier clients. A consulting model that fosters continuous learning, professional mobility, and long-term development. Close support from your manager and regular tracking of your professional evolution. Growth opportunities within an international, dynamic, and multicultural environment. Amaris Consulting is committed to diversity and equal opportunity. We consider each individual based on their talent, competencies, and potential, regardless of origin, gender, age, sexual orientation, disability, or any other personal characteristic. Who are we? Amaris Consulting is an independent technology advisory firm providing guidance and solutions to enterprises. It brings together more than 7\.500 people across 5 continents and over 60 countries. With more than 1\.000 clients worldwide, we have implemented solutions on major projects for over a decade. Our specialists cover sectors ranging from financial services and transportation to healthcare and technology. Amaris is your ‘stepping stone’ to crossing rivers of change, tackling challenges, and successfully executing all your projects.