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NLP Engineer / Data Scientist

We are seeking highly skilled NLP Engineers specializing in Large Language Models (LLMs) to join our AI Research and Development team. The ideal candidate will have a strong background in machine learning, natural language processing, and experience working with large-scale language models like GPT, Claude, Llama, or Bard.

As an NLP Engineer in our AI Labs, you will be responsible for bringing the latest innovations in ML research to Insud Pharma, a leading Biotech company from Spain. The mission of our department is to discover, architect, design, and refine solutions for the fields of Drug Discovery, Clinical Trials, Factory Automation, Medical Research, among others.

Your focus will be on building solutions in Natural Language Processing (NLP), Deep Learning and Analytics, from gaining data and business understanding through data preparation and modeling, model evaluation to the result presentation and the solution deployment. In your role, you will apply a variety of models on large-scale datasets to address various business problems using advanced techniques. You will write high-quality production code, build and maintain robust, scalable data pipelines, document and validate the approach, set up processes to monitor, operate and continually improve the efficiency and performance of the implemented solutions.

Insud Pharma believes in innovation and sustainable development. Our commitment is to improve people`s health and quality of life, providing access to quality medicines at affordable prices, and to continuously expand our efforts and R&D investment to develop new and better therapies.

• Design, develop, and maintain NLP models.
• Collaborate with cross-functional teams across Insud to integrate LLMs into various business units and applications.
• Optimize your models for performance, scalability, and efficiency.
• Review papers and keep the team up to date with SotA LLM algorithms and techniques.
• 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.

• Graduated with a higher degree in computer science, information technology, data science, or similar.
• 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 such as Elastic search
• 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 knowledge 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.

• We sponsor Visas to relocate to Spain.
• Restaurant ticket 11 euros per day .
• Flexible working hours.
• 1 day per week working from home.
• Life and accident insurance covered by the company.
• 32 days of paid vacation.
• Online library.
• Medical attention.
• Online psychologist through iFeel.
• Championships, sports events and teambuilding.
• Christmas basket.
• Dynamic and growing environment (22% last year).
• Savings club, discounts and coupons.
• Online nutrition.
• Online gym.
• Internal mobility.
• Online meditation/relaxation.
• Possibility of collaborating as a volunteer with our NGO.
• Flexible remuneration for permanent employees such as private medical insurance with Sanitas or Cigna, transport ticket, childcare ticket.