As an NLP Engineer in their AI Labs, you will be responsible for bringing the latest innovations in ML research to the company.
The mission of the department is to discover, architect, design, and refine solutions for the fields of Drug Discovery, Clinical Trials, Factory Automation, Medical Research, among others.
Specific Responsibilities Design, develop, and maintain NLP models.
Review papers and keep the team up to date with SotA LLM algorithms and techniques.
Optimize your models for performance, scalability, and efficiency.
Stay up to date with the latest developments in Deep Learning.
Analyze and interpret complex datasets to define and improve model accuracy.
Write clean, maintainable, and efficient code.
Provide technical guidance and mentorship to other data scientists specialized in other domains.
Requirements Graduated with a higher degree in computer science, information technology, data science, or similar fields.
Proven experience in developing and deploying machine learning models, particularly in natural language processing.
Strong proficiency in Python, and experience with machine learning frameworks such as PyTorch, Hugging Face, or Pandas.
Good understanding of document indexing systems and vector databases (e.g.
Qdrant, Langchain).
Experience in agile software development, version control (git), CI/CD, and containers (Docker, Kubernetes).
Knowledge of microservices, RESTful APIs, Dockers and AWS Container Services is a plus.
General expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, and Bayesian statistics.
Experience writing clean code and deploying models in production.
Comfortable working in cloud and high-performance computing environments (AWS, GCP, or Azure).
Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
A demonstrated ability to work and collaborate in a team environment.
Proficient in English in written and verbal communication (basic Spanish is a plus).
Experience in life sciences or healthcare is a plus.
Benefits Assistance with relocation to Madrid, Spain.
Annual Bonus.
Competitive Salary.
Career growth opportunities.
Other benefits.
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