Senior ML Engineer, Biologics Discovery — Production AI

Johnson U0026 Johnson; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

Life and disability insurance

Retirement plan (pension) and 401(k)

Vacation and personal time off

Paid holidays and sick leave

Descripción de la vacante

Johnson & Johnson is seeking a Senior ML Engineer to operationalize AI/ML capabilities for Biologics Discovery in Madrid. You will build scalable data pipelines, governance, and lifecycle practices to move models from prototype to production.

You will partner with researchers and engineers to enable reliable, production-grade workflows, focusing on reliability, reproducibility, and automation across environments. This role emphasizes cross-functional collaboration and robust deployment practices.

Formación

• Degree in Computer Science, Engineering, Data Science, ML, or related computational field.
• 4+ years of experience operationalizing and scaling AI/ML solutions in production.
• Strong Python proficiency for AI/ML workflows across training, fine-tuning, deployment, and serving.
• Experience with cloud infrastructure and modern data platforms for AI/ML workloads.
• Experience with model registries, experiment tracking, and ML lifecycle tools (e.g., MLflow, Weights & Biases).
• Experience implementing production AI/ML practices: versioning, deployment automation, CI/CD, automated testing, observability, containers, orchestration, scalable compute.
• Strong software development and automation practices and ability to partner with data scientists and domain experts.

Responsabilidades

• Operationalize and scale AI/ML solutions in production.
• Build Python-based AI/ML workflows for training, fine-tuning, deployment, and serving.
• Work with cloud infrastructure and data platforms for AI/ML workloads.
• Use model registries, experiment tracking, and ML lifecycle tools.
• Implement production AI/ML practices: versioning, deployment automation, CI/CD, automated testing, observability, containers, orchestration, scalable compute.
• Collaborate with data scientists and domain experts to design reliable integration patterns between data products and AI/ML workflows.

Conocimientos

Python

Cloud infra

CI/CD

Observability

Data pipelines

ML lifecycle tools

Educación

Degree in Computer Science, Engineering, Data Science, ML, or related field

Herramientas

MLflow

Weights & Biases

Docker

Kubernetes

Descripción del empleo

Johnson & Johnson is seeking a Senior ML Engineer to operationalize AI/ML capabilities for Biologics Discovery in Madrid. You will build scalable data pipelines, governance, and lifecycle practices to move models from prototype to production.

You will partner with researchers and engineers to enable reliable, production-grade workflows, focusing on reliability, reproducibility, and automation across environments. This role emphasizes cross-functional collaboration and robust deployment practices.