Senior Machine Learning Engineer, MLOps (Barcelona)

Senior Machine Learning Engineer, MLOps (Barcelona)

22 sep
|
Dow Jones u0026
|
Barcelona

22 sep

Dow Jones u0026

Barcelona

Remoto: Trabajo híbrido

Experteer 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 / Ventajas• Own end-to-end ML model development, optimization, and deployment• Develop and manage LLM-based solutions including semantic layer, fine-tuning, and evaluation• Design robust model monitoring, retraining, and scalable ML pipelines• Improve inference performance for production environments• Collaborate with data scientists, engineers, and product teams to integrate ML solutions• Enhance experimentation frameworks, versioning, and A/B testing strategies• Uphold MLOps best practices:



automation, reproducibility, and CI/CD for ML• Contribute to ML infrastructure architecture and mentor junior ML engineersResponsabilidades• Bachelor in Computer Science• 2-4 years of ML experience with production models• Strong experience with LLMOps: fine-tuning, prompt engineering, lifecycle management• Experience developing agent and multi-agent systems• Advanced hands-on with cloud-based data warehouses; Snowflake preferred• Proficiency in Python and SQL; experience with TensorFlow or PyTorch• Familiarity with Scikit-learn, Pandas, NumPy• Experience building MLOps pipelines with MLflow or Airflow• Experience with cloud platforms (AWS, GCP, or Azure) and big data frameworks like Spark or DaskRequisitos principales• Comprehensive healthcare• Extra paid time off (30 days/year)• Partial remote work (3 months/year) and quarterly remote week• Meal benefit with Pluxee• Retirement plans with employer match• Well-being resources and insurance

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

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