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SAVANA is an award-winning, international medical company aiming to accelerate health science by putting into the hands of healthcare providers the power to unlock all of the clinical value embedded within existing Electronic Health Records (EHRs) with Artificial Intelligence and Natural Language Processing, always ensuring maximum privacy and security.
Founded in 2014, Savana is an international medical company that has developed a scientific methodology that applies Artificial Intelligence (AI) to unlock all the clinical value embedded within Electronic Health Records' free-text (EHRs). With the largest AI-enabled, multi-language, multi-center research network in the world, Savana generates customized descriptive and predictive, high-quality Deep Real World Evidence research studies. Engineered by doctors for doctors, the company is built following the highest privacy-by-design standards.
Savana operates in more than 160 hospitals, 5 languages, 15 countries and has already improved more than 6 clinical practices with more than 100 employees from 16 nationalities. It constitutes a clinical research ecosystem that aims to advance personalized and precision medicine worldwide.
Senior AI Specialist at SavanaWe 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 model development and fine-tuning for real-world evidence studies.
- Operate according to Security Policies, Procedures, and Manuals.
- Report any suspect incident or improvement proposals.
- 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, 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.
- 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.
- An opportunity to provoke a positive impact. We seek to improve health on the planet through technology and to help people and health institutions.
- An environment to express yourself as you are and enjoy what you know. We defend individuality to form a richer and more plural ecosystem.
- Competitive salary conditions, flexible culture, and a development framework to grow your career. People are our main asset, so we invest in training and development and recognize and compensate for achievements and valuable work.
