Experteer Overview
As a Senior Machine Learning Engineer at Dow Jones, you will own the end-to-end ML lifecycle with a strong emphasis on LLMOps. You will build and deploy ML and agent-based solutions that scale across platforms, ensuring robust monitoring and reliable production performance. You’ll collaborate with data scientists, engineers, and product teams to advance data-driven products for readers and users. This role offers the chance to shape ML infrastructure and accelerate innovation in a dynamic media-tech environment.

Compensaciones / Incentivos
• Own end-to-end ML model development, optimization and deployment.
• Develop and manage LLM-based solutions, including semantic layer, fine-tuning, evaluation, deployment strategies, and agent/multi-agent systems.
• Ensure scalability, efficiency, and reliability of ML pipelines.
• Design robust model monitoring and retraining strategies.
• Optimize model inference and performance for production environments.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions.
• Improve experimentation frameworks, model versioning, and A/B testing strategies.
• Uphold best practices in MLOps, including automation, reproducibility, and CI/CD for ML.




• Contribute to architectural decisions and improve ML infrastructure.
• Mentor and provide technical guidance to junior ML engineers.

Responsabilidades
• Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field
• 2-4 years of professional ML experience with models deployed in production
• Strong experience with LLMOps, fine-tuning frameworks, prompt engineering, and lifecycle management of LLMs; experience with agent and multi-agent systems
• Advanced hands-on experience with cloud-based data warehouse solutions; Snowflake preferred
• Proficiency in Python and SQL; experience with TensorFlow, PyTorch
• Knowledge of Scikit-learn, Pandas, NumPy
• Experience building ML/MLOps pipelines using MLflow or Airflow
• Experience with cloud platforms (AWS, GCP, Azure) and big data frameworks like Spark or Dask (preferred)

Requisitos principales
• Comprehensive Healthcare Plans
• 30 days of holidays/year
• Remote work possibilities (3 months/year)
• Meal benefit with Pluxee
• Retirement plans with employer match
• Life insurance and wellbeing resources (e.g., Spring Health)

📌 Senior Machine Learning Engineer (Barcelona)
🏢 Dow Jones u0026
📍 Barcelona