Senior MLOps Engineer

Senior MLOps Engineer page is loaded## Senior MLOps Engineerlocations:¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación.Madrid, Spain:Barcelona, Spaintime type:Full timeposted on:Posted 3 Days Agojob requisition id:JR100012Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum.At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.We are currently seeking a Senior MLOps Engineer with 5+ years of relevant experience to lead the design, deployment, and optimization of scalable machine learning pipelines, focusing on Generative AI and large language models (LLMs). You will collaborate across teams to streamline workflows, ensure system reliability, and integrate the latest MLOps tools and practices.Why You'll Love Working with UsWe are at an exciting point in our journey, leveraging **Generative AI (GenAI)**, **Large Language Models (LLMs)**, and advanced **Retrieval-Augmented Generation (RAG)** techniques to build intelligent, data-driven systems that deliver powerful PR insights. You'll also work on developing **agentic workflows** that autonomously orchestrate tasks, enabling scalable and dynamic solutions.Our data stack is modern and efficient, designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI-driven workflows. This is an excellent opportunity to make a significant impact on projects that push the boundaries of AI-powered insights and automation.If you're passionate about building high-performance data systems, working with cutting-edge AI frameworks, and solving complex challenges in a supportive, forward-thinking environment, you'll thrive here Responsibilities:* Develop and maintain scalable MLOps pipelines for GenAI applications.* Deploy and optimize GenAI models, including large language models (LLMs) such as GPT and similar architectures, in production environments.* Develop solutions leveraging traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows* Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment.* Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models.* Define and enforce best practices for model versioning, reproducibility, and governance.* Monitor and troubleshoot production systems to minimize downtime.* Utilize Databricks to build and manage data and ML pipelines integrated with GenAI and LLM workflows.* Evaluate and integrate state-of-the-art MLOps tools and frameworks for LLMs and other GenAI models.* Stay updated on advancements in GenAI technologies, including LLM fine-tuning and serving, and contribute to strategic initiatives.Qualifications:* Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.* 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI.* Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT).* Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face.* Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services.* Hands-on experience with Docker, Kubernetes, and container orchestration.* Expertise with Databricks, including ML workflows and data pipeline management.* Familiarity with tools like MLflow, DVC, Prometheus, and Grafana for versioning and monitoring.* Experience implementing security and compliance standards for AI systems.* Strong problem-solving and communication skills, with a collaborative mindset.* Experience with support and guidance of junior team members* Fluency in written and spoken EnglishPreferred Qualifications:* Experience with large-scale distributed training and fine-tuning of GenAI models.* Familiarity with prompt engineering and model optimization techniques.* Contributions to open-source projects in the MLOps or GenAI space.* Familiarity with PySpark for distributed data processing.€65,000-82,000 a year#LI-RT9We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.It started with one man’s passion to make an impact through stories…70 years later, we are the world’s largest communications firm, which fosters an environment where people feel empowered to take the kind of bold action that makes careers, reshapes industries, and creates the unexpected.We are one global team, over 6,000 strong across 60 offices, grounded by our shared values. We promise an experience where our employees see that boldness is possibility, empathy is progress, and curiosity is momentum.Since Dan Edelman founded the firm in 1952, we have remained an independent, family-run business, and our culture is one that brings understanding, collaboration, and respect to our work and to each other.We offer more than just a career – we offer a place to grow, make a meaningful impact, and help drive change alongside some of the brightest minds in the industry. Our culture is built on trust, innovation, and inclusivity, where unique perspectives are not only welcomed, but celebrated. At Edelman, your ambitions are supported, your voice matters and your work contributes to shaping the future of communications and clients’ business. xsgfvud ### Join our Talent CommunityJoin our talent community to receive the latest DJE Holdings news and content, and to be notified when job openings match your skills and experience.#J-18808-Ljbffr