Senior ML Engineer – LLMOps & Production AI Lead

News Corporation; Bellprat; Híbrido; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plans for you and family

Remote work 3 months/year

Meal benefit via Pluxee

Retirement plans with employer match

Life insurance

Well-being resources

Descripción de la vacante

Dow Jones Barcelona-Spain seeks a Senior Machine Learning Engineer to own the end-to-end lifecycle of ML models with a strong focus on LLMOps, deployment strategies, and agent/multi-agent systems in production.

You will collaborate with data scientists, engineers, and product teams to optimize inference, monitor models, and retrain as needed, while benefiting from remote work flexibility and a competitive compensation package.

Formación

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 2-4 years of professional ML experience with models deployed in production.
• Strong experience with LLMOps, fine-tuning, prompt engineering, and lifecycle management of large language models.

Responsabilidades

• Develop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and agent/multi-agent systems.
• Own end-to-end ML model development, optimization, and deployment.
• Ensure scalable, efficient, and reliable ML pipelines.

Conocimientos

LLMOps

Fine-tuning

Prompt engineering

Agent systems

Multi-agent systems

Python

SQL

TensorFlow

PyTorch

ML pipelines

Educación

Bachelor's degree in CS/Math/Statistics

Master's or PhD preferred

Herramientas

Snowflake

MLflow

Airflow

Spark

Dask

TensorFlow

PyTorch

Descripción del empleo

Dow Jones Barcelona-Spain seeks a Senior Machine Learning Engineer to own the end-to-end lifecycle of ML models with a strong focus on LLMOps, deployment strategies, and agent/multi-agent systems in production.

You will collaborate with data scientists, engineers, and product teams to optimize inference, monitor models, and retrain as needed, while benefiting from remote work flexibility and a competitive compensation package.