Descripción del trabajo
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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 / Ventajas

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- 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. xhfqzwm

- Mentor and provide technical guidance to junior ML engineers.

Responsabilidades

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- 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

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- 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)

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