Senior ML Engineer: LLMOps & End-to-End MLOps Leader

Dow Jones; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Parental leave 20 weeks

Caregiver leave 4 weeks

Remote work up to 4 weeks/yr

Volunteer day

Caregiver reimbursement $700

Headspace wellness membership

ClassPass fitness/wellness

Descripción de la vacante

Dow Jones in Barcelona, Spain seeks a Senior Machine Learning Engineer to own the full MLOps lifecycle, with a strong focus on LLMOps, from development to deployment.

You will collaborate with data scientists and product teams to design scalable pipelines, implement monitoring, retraining, and CI/CD practices for production ML. Proficiency in Python/SQL, cloud platforms, and LLMs is required.

Formación

• 5+ years of experience in ML/AI and MLOps.
• Strong hands-on experience with LLMOps, fine-tuning, and prompts.
• Experience with production ML systems and monitoring.

Responsabilidades

• Own end-to-end ML model development, optimization, and deployment.
• Design and maintain scalable ML pipelines and CI/CD for ML systems.
• Develop and evaluate LLM-based solutions and multi-agent systems.
• Collaborate with data scientists, engineers and product teams to integrate ML solutions.

Conocimientos

LLMOps

Python

SQL

AWS

GCP

Azure

PyTorch

TensorFlow

Scikit-learn

MLflow

Airflow

Pandas

NumPy

Agent systems

Educación

Bachelor’s degree in CS/Stats/Math

Master’s degree preferred

PhD strong plus

Herramientas

Snowflake

Spark

Dask

MLflow

CI/CD tooling

Descripción del empleo

Dow Jones in Barcelona, Spain seeks a Senior Machine Learning Engineer to own the full MLOps lifecycle, with a strong focus on LLMOps, from development to deployment.

You will collaborate with data scientists and product teams to design scalable pipelines, implement monitoring, retraining, and CI/CD practices for production ML. Proficiency in Python/SQL, cloud platforms, and LLMs is required.