Senior AI Specialist

We are seeking a highly skilled and experienced Senior Specialist in Machine Learning with a strong focus on applying Large Language Models (LLMs) in Natural Language Processing (NLP) tasks. The ideal candidate will have extensive knowledge of the machine learning lifecycle, and a proven record of delivering impactful ML solutions in production environments.

Major Accountabilities where this role is involved: 

• Design, develop, fine-tune, optimize, and deploy state-of-the-art Natural Language Processing models, including LLMs, in clinical and multilingual settings, using foundational model libraries.
• Design and implement optimization techniques for quality assurance, explainability and annotation projects.
• Understand the full Machine Learning lifecycle, from data collection/preparation and model development to model deployment and monitoring.
• Collaborate with cross-functional teams to identify and solve business problems using advanced Machine Learning techniques.
• Stay up to date with the latest research and advancements in NLP, LLMs, and Machine Learning technologies, including Retrieval Augmented Generation (RAG)
• Work collaboratively within a multicultural, multilingual team and meet tight project deadlines.
• Support and execute projects within the team’s core responsibility including e.g. model development and fine-tuning for real-world evidence studies.
• Operate according to Security Policies, Procedures and Manuals.
• Report any suspect of incident or improvement proposals.

Skills, Experience and Qualifications required:

• Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field. 
• Proven experience working on Machine Learning projects, with a focus on NLP and LLMs, experience working with clinical data and/or in different languages is a plus. 
• Deep understanding of Machine Learning principles, including model design, training, validation, and evaluation, and other Artificial Intelligence techniques (Bayes, clustering, classification, PCA, etc.) 
• Fluency in Python is mandatory; proficiency in additional programming languages such as R, Java, or Scala is a strong advantage. 
• Demonstrated ability to work under pressure and deliver projects on time in a dynamic and collaborative environment. 
• Spanish fluency is mandatory. 
• Knowledge of additional European languages, such as English, French, German, Portuguese, or Italian, is highly advantageous. 
• Strong problem-solving skills and analytical mindset. 
• Effective communication and teamwork abilities. 
• Detail-oriented, with a strong commitment to delivering high-quality results. 
• Initiative and passion for staying ahead in the rapidly evolving field of Machine Learning and NLP. 

We offer:

• Work with a multidisciplinary team of clinicians, computer engineers, computational linguists, mathematicians, designers, medical Natural Language Processing expert programmers and other disciplines. We are a team of professionals with a common goal: to blend the knowledge of all of us to seek excellence in our purpose. Coming from very different disciplines, we want everyone to learn from everyone, creating a unique entity that moves towards the transformation of health through Artificial Intelligence.
• An opportunity to provoke a positive impact. We seek to improve health on the planet through technology and to help people and health institutions. Our employees and collaborators strive to provide our users with the necessary tools and support to achieve a more accessible and egalitarian global health. We care about our environment and we are willing to improve it.
• An environment to express yourself as you are and enjoy what you know. We defend individuality to form a richer and more plural "ecosystem". Be yourself and tell us what you have learned and how could we use it together to help us achieve our purpose. If you like what you do, we like to work with you.
• Competitive salary conditions, flexible culture and a development framework to growth your career. People are our main asset, so we invest in training and development and recognize and compensate for achievements and valuable work. We trust in the talent and commitment of people and focus on objectives and results, so we are flexible in our way of working, providing a framework to reconcile our personal and professional lives.

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