Machine Learning Senior Engineer
Hace 6 días
Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España
Dow Jones & Co.
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OverviewIn this role you design, build and maintain ML pipelines and infrastructure to support conventional and GenAI models.
You collaborate with data scientists and engineers to deploy production-ready solutions, leveraging cloud resources for scalability and security.
You will optimize NLP-focused data infrastructure and ensure model performance across high-volume data.
This opportunity lets you shape intelligent systems that deliver tangible value within a tech-focused team.
Compensaciones / Beneficioshealth benefits
retirement plan
wellbeing programs
competitive compensation
flexible benefits
ResponsabilidadesCollaborate with data scientists and engineers to integrate ML models into AI/ML pipelines (pre-processing, fine-tuning, deployment)
Build optimized data storage and indexing systems for NLP using advanced databases
Develop tools and frameworks for model training, tuning, and evaluation with seamless infrastructure integration
Partner with teams to deploy models in production using cloud infrastructure
Monitor and improve model performance for accuracy and efficiency
Provide ongoing support and updates for ML models
Create and maintain data processing pipelines for large volumes of structured and unstructured data
Maintain documentation for ML infrastructure and support processes
Stay updated on GenAI, NLP, ML and IR technologies and apply best practices with cloud efficiency
Requisitos principalesBachelor's or Master's in CS/Engineering/Data Science or related field
2–4 years in ML engineering, data science or data engineering
Strong Python or equivalent high-level language programming
Experience with NLP and ML frameworks (PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn)
Experience in NLP-focused data infrastructure (storage, indexing, retrieval)
Proficiency in vector storage, indexing and graph databases in cloud environments
Familiarity with cloud infrastructure/services (AWS, GCP)
Experience with Docker and Kubernetes on cloud infrastructure
Experience with Git version control
Strong communication and collaboration skills
communication
collaboration
teamwork
PyTorch
HuggingFace
LangChain