ML Engineer (MLOps - Remote)
3 days ago
Barcelona
Help to revolutionise a fast-moving industry with cutting-edge AI: 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 customers What You'll Be Doing You'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 Build • 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: Create solutions that integrate traditional ML techniques with cutting-edge LLMs to deliver powerful insights, • Automated MLOps Workflows: 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: Establish best practices for model versioning, reproducibility, and responsible AI deployment, • Integrated Data Pipelines: Utilize Databricks to construct and manage sophisticated data and ML pipelines, • 4+ years of hands-on experience in MLOps, DevOps, or ML Engineering roles, • Experience with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring, • Proven 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 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), • You're a builder at heart – someone who loves creating scalable, production-ready systems, • You balance technical excellence with pragmatic delivery, • You're excited about pushing boundaries in GenAI and LLM technologies, • You can communicate complex concepts effectively to diverse stakeholders 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