ML Engineer

Help to revolutionise a fast-moving industry with cutting-edge AI:Dé el siguiente paso en su carrera profesional ahora: desplácese hacia abajo para leer la descripción completa del puesto y envíe su solicitud.Our client is a globally recognised brand with deep-rooted expertise. They are heavily invested in leveraging AI to combine their domain expertise with SOTA techniques, solidifying their position as a leader in the field. You'll join a global team with a distributed set of skills including Research, Applied AI and Engineering.They are seeking MLOps Engineers to help architect the future of communication through AI. This isn't just another engineering role – it's an opportunity to pioneer systems that transform how companies connect with their customersWhat You’ll Be DoingYou'll be designing and optimising production-grade MLOps pipelines that bring cutting-edge Generative AI and LLMs from experimentation to real-world impact. Your expertise will directly influence how some of the world's leading brands enhance their strategies.What You'll BuildProduction-Ready GenAI Infrastructure: Design and deploy scalable MLOps pipelines specifically optimized for GenAI applications and large language modelsState-of-the-Art Model Deployment: Implement and fine-tune advanced models like GPT and similar architectures in production environmentsHybrid AI Systems: Create solutions that integrate traditional ML techniques with cutting-edge LLMs to deliver powerful insightsAutomated MLOps Workflows: Build robust CI/CD pipelines for ML, enabling seamless testing, validation, and deploymentCost-Efficient Cloud Infrastructure: Optimize cloud resources to maximize performance while maintaining cost efficiencyGovernance and Versioning Systems: Establish best practices for model versioning, reproducibility, and responsible AI deploymentIntegrated Data Pipelines: Utilize Databricks to construct and manage sophisticated data and ML pipelinesMonitoring Ecosystems: Implement comprehensive monitoring systems to ensure reliability and performanceWhat You’ll Need4+ years of hands-on experience in MLOps, DevOps, or ML Engineering rolesExperience with MLflow, DVC, Prometheus, and Grafana for versioning and monitoringProven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT)Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML servicesPractical experience with Docker, Kubernetes, and container orchestrationDatabricks expertise, including ML workflows and data pipeline integrationBachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience)Fluency in written and spoken EnglishThe Person We're Looking ForYou're abuilder at heart– someone who loves creating scalable, production-ready systemsYou balancetechnical excellencewithpragmatic deliveryYou're excited aboutpushing boundariesin GenAI and LLM technologiesYou cancommunicate complex conceptseffectively to diverse stakeholdersYou enjoymentoring junior team membersand elevating the entire technical organizationWhat Makes This Opportunity SpecialYou'll be working with a modern data stack designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI-driven workflows. This is your chance to make a significant impact on projects that push the boundaries of AI-powered insights and automation in industry. xcskxlj Location - this is a remote opportunity, but the successful candidate must reside permanently in Spain and not require sponsorshipHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.