Overview As a Senior Machine Learning Engineer at Dow Jones, you own the ML lifecycle with a focus on LLMOps, driving production-ready solutions. You will shape end-to-end ML pipelines and ML infrastructure, collaborating with data scientists, engineers, and product teams. Your work will span semantic layer development, fine-tuning, model evaluation, deployment, and multi-agent systems. You’ll optimize performance, establish robust monitoring and retraining, and mentor junior engineers. This role offers impact across product and UX, in a fast-paced tech-driven newsroom environment.

Compensaciones / BeneficiosComprehensive healthcareExtra paid time off (30 days/year)Partial remote work (3 months/year) and quarterly remote weekMeal benefit with PluxeeRetirement plans with employer matchWell-being resources and insurance ResponsabilidadesOwn end-to-end ML model development, optimization, and deploymentDevelop and manage LLM-based solutions including semantic layer, fine-tuning, and evaluationDesign robust model monitoring, retraining,



and scalable ML pipelinesImprove inference performance for production environmentsCollaborate with data scientists, engineers, and product teams to integrate ML solutionsEnhance experimentation frameworks, versioning, and A/B testing strategiesUphold MLOps best practices: automation, reproducibility, and CI/CD for MLContribute to ML infrastructure architecture and mentor junior ML engineers Requisitos principalesBachelor in Computer Science2-4 years of ML experience with production modelsStrong experience with LLMOps: fine-tuning, prompt engineering, lifecycle managementExperience developing agent and multi-agent systemsAdvanced hands-on with cloud-based data warehouses; Snowflake preferredProficiency in Python and SQL; experience with TensorFlow or PyTorchFamiliarity with Scikit-learn, Pandas, NumPyExperience building MLOps pipelines with MLflow or AirflowExperience with cloud platforms (AWS, GCP, or Azure) and big data frameworks like Spark or Daskteam collaborationmentoring and guidanceeffective communicationLLMOpsfine-tuning frameworksprompt engineering

📌 Senior Machine Learning Engineer, MLOps - barcelona
🏢 Jobrapido
📍 Barcelona