Senior ML Engineer - Scalable ML Pipelines & GenAI

dowjones; Barcelona; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

Dow Jones, based in Barcelona, seeks a Senior Machine Learning Engineer to design, build, and maintain ML pipelines and infrastructure for both traditional and GenAI models. You will collaborate with data scientists to integrate diverse models and optimize deployment, monitoring, and scaling across cloud environments.

Requirements include 2–4 years in ML/DS/DE roles, strong Python skills, NLP/ML frameworks experience, and knowledge of cloud, Docker, Kubernetes, and Git.

Qualificações

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.

Responsabilidades

• Collaborate with data scientists and engineers to integrate ML models into AI/ML pipelines, covering pre-processing, fine-tuning, and deployment.
• Implement optimized data storage and indexing systems for NLP, utilizing advanced database technologies.
• Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration.
• Partner with data scientists and engineers to integrate models into production, leveraging cloud infrastructure as needed.
• Monitor and improve model performance for accuracy and efficiency.
• Provide ongoing support, troubleshoot issues, and implement updates for ML models.
• Build and maintain data processing pipelines for high volumes of structured and unstructured data.
• Develop and maintain documentation for all ML infrastructure and support processes.
• Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency

Conhecimentos

Python

NLP

PyTorch

HuggingFace

LangChain

spaCy

NLTK

scikit-learn

Cloud computing

Docker

Kubernetes

Git

Data collaboration

Communication

Formação académica

Bachelor's or Master's in CS/Engineering/Data Science

Ferramentas

AWS

GCP

Descrição da oferta de emprego

Dow Jones, based in Barcelona, seeks a Senior Machine Learning Engineer to design, build, and maintain ML pipelines and infrastructure for both traditional and GenAI models. You will collaborate with data scientists to integrate diverse models and optimize deployment, monitoring, and scaling across cloud environments.

Requirements include 2–4 years in ML/DS/DE roles, strong Python skills, NLP/ML frameworks experience, and knowledge of cloud, Docker, Kubernetes, and Git.