<p>Take your career to the next level with Amaris Consulting as an MLOps Engineer. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.</p><p><br></p><p><br></p><p>WHAT WOULD YOU NEED? ✍️</p><ul><li>3 to 5 years of experience designing and implementing MLOps solutions.</li><li>Strong experience with <b>AWS</b>, including infrastructure implementation, automation, and security management.</li><li>Hands-on experience with <b>Terraform</b> and Infrastructure as Code (IaC).</li><li>Solid experience with <b>Kubernetes</b>, including deployment, cluster management, and automation of containerized applications.</li><li>Knowledge of MLOps frameworks and tools such as <b>MLflow</b>, Kubeflow, TFX, and <b>Apache Airflow</b>.</li><li>Experience working with <b>Machine Learning</b> workflows and production environments.</li><li>Strong programming skills in <b>Python</b>.</li><li>Experience with CI/CD practices, version control systems, and monitoring tools.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li><b>Professional working proficiency in English.</b></li><li>Good command of <b>Spanish</b>.</li><li>Based in Barcelona or willing to work in a <b>50% hybrid model</b>.</li></ul><p><br></p><p><br></p><p>👉 WHAT WILL YOU DO? 👈</p><ul><li>Design, implement, and maintain scalable MLOps platforms and solutions.</li><li>Build and manage cloud infrastructure on <b>AWS</b> following best practices for security, scalability, and automation.</li><li>Develop and maintain Infrastructure as Code using <b>Terraform</b>.</li><li>Deploy, manage, and optimize <b>Kubernetes</b> clusters and containerized workloads.</li><li>Implement and improve <b>Machine Learning</b> workflows using tools such as <b>MLflow</b>, Kubeflow, TFX, and <b>Apache Airflow</b>.</li><li>Automate deployment, monitoring, and lifecycle management of machine learning models.</li><li>Collaborate with Data Scientists, Data Engineers, and Software Engineers to streamline ML development and production processes.</li><li>Monitor platform performance and ensure reliability, scalability, and operational excellence.</li><li>Contribute to the definition of technical standards, best practices, and continuous improvement initiatives.</li><li>Support the adoption of MLOps methodologies across different teams and projects.</li></ul><p><br></p><p><br></p><p>🚀 WHY US? 🚀</p><p>Join our dynamic team of talented individuals and experience a world of growth and opportunities. Heres what we offer:</p><ul><li>Grow rapidly with a tailored career path and salary evaluation. 70% of our senior leaders started at entry level.</li><li>Enhance your skills through our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops.</li><li>Take charge of your training with an annual personal budget and company-paid certifications.</li><li>Enjoy flexible policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance.</li><li>Benefit from our WeCare program, supporting employees in critical situations.</li><li>Unleash your full potential, both professionally and personally.</li></ul><p><br></p><p><br></p><p>Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.</p>