Experteer Overview
In this role you will own the full ML lifecycle with a focus on LLMOps, building and deploying scalable ML solutions that power editorial, product and data platforms. You will collaborate with data scientists, engineers and product teams to deliver production-grade models and intelligent tools. You’ll design robust monitoring, retraining, and optimization strategies to maintain high performance in real-world settings. This is an opportunity to shape next-generation AI capabilities at Dow Jones and influence how readers and users access information.

Compensaciones / Incentivos
• Develop and manage LLM-based solutions (semantics, fine-tuning, evaluation, deployment) and multi-agent systems
• Own end-to-end ML model development, optimization and deployment
• Ensure ML pipeline scalability, efficiency and reliability
• Design robust model monitoring and retraining strategies
• Optimize model inference and production performance
• Collaborate with data scientists, engineers and product teams to integrate ML solutions
• Improve experimentation frameworks, model versioning and A/B testing




• Advance MLOps practices including automation, reproducibility and ML CI/CD
• Contribute to ML infrastructure and architectural decisions

Responsabilidades
• 2-4 years of professional ML experience with production-ready models
• Strong LLMOps experience (fine-tuning, prompt engineering, lifecycle management)
• Experience developing agent and multi-agent systems
• Advanced hands-on experience with cloud-based data warehouses; Snowflake preferred
• Proficiency in Python and SQL; deep experience with TensorFlow or PyTorch
• Knowledge of Scikit-learn, Pandas, NumPy
• Experience building MLOps pipelines with MLflow or Airflow
• Experience with cloud platforms (AWS, GCP, Azure) and large-scale data processing frameworks (Spark, Dask)

Requisitos principales
• Comprehensive Healthcare Plans
• Extra paid Time Off
• Remote work possibilities
• Meal benefit with Pluxee
• Retirement Plans
• Comprehensive Insurance Plans

📌 Senior Machine Learning Engineer, MLOps (Barcelona)
🏢 News
📍 Barcelona