ML Engineer

Our client is a globally recognised brand with deep-rooted expertise. 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 customers Your expertise will directly influence how some of the world's leading brands enhance their strategies. Production-Ready GenAI Infrastructure : Design and deploy scalable MLOps pipelines specifically optimized for GenAI applications and large language models State-of-the-Art Model Deployment : Implement and fine-tune advanced models like GPT and similar architectures in production environments Hybrid AI Systems : Build robust CI/CD pipelines for ML, enabling seamless testing, validation, and deployment Cost-Efficient Cloud Infrastructure : Optimize cloud resources to maximize performance while maintaining cost efficiency Governance and Versioning Systems : Integrated Data Pipelines : Utilize Databricks to construct and manage sophisticated data and ML pipelines Implement comprehensive monitoring systems to ensure reliability and performance 4+ years of hands-on experience in MLOps, DevOps, or ML Engineering roles ~ Experience with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring ~ Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) ~ Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services ~ Practical experience with Docker, Kubernetes, and container orchestration ~ Databricks expertise, including ML workflows and data pipeline integration ~ Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience) ~ Fluency in written and spoken English You enjoy mentoring junior team members and elevating the entire technical organization You'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. Location - this is a remote opportunity, but the successful candidate must reside permanently in Spain and not require sponsorship