Senior Platform AI Engineer focused on AI infrastructure and frameworks at Nexxen in Tel Aviv. Building next - gen AI capabilities for diverse products.
About the role
- Applied AI Engineer at Spesia transforming clinical data into real healthcare AI tools for doctors and patients. Developing machine learning models and implementing AI in health applications.
Responsibilities
- Develop and implement Artificial Intelligence solutions applied to healthcare, transforming clinical data into digital products that deliver real value to doctors, patients, and care teams.
- Develop, test and deploy machine learning and NLP models in real-world environments using clinical and biomedical data;
- Build and maintain data and inference pipelines, handling structured and unstructured data (primarily clinical text);
- Integrate AI models into digital products and clinical decision support systems;
- Develop APIs, services and processing routines to make models available in production;
- Work with real-world EHR data, performing cleaning, normalization, structuring and enrichment;
- Explore and adapt Transformer-based models (e.g., BERT, Llama, among others), with a focus on practical application;
- Evaluate models with metrics appropriate to the clinical context and iterate based on user feedback;
- Collaborate with physicians, engineers and product teams to define and evolve solutions;
- Translate models and analyses into product-applicable features;
- Contribute to technical documentation of developed solutions.
Requirements
- Degree in Computer Science, Data Science, Biomedical Informatics or related fields;
- Hands-on experience developing machine learning or NLP solutions;
- Proficiency in Python;
- Experience with libraries such as PyTorch, TensorFlow, HuggingFace or similar;
- Experience with collaborative development (Git, code review, pull requests);
- Experience building applications (beyond notebooks);
- Familiarity with model deployment, APIs or data pipelines;
- Knowledge of NLP, information extraction and use of LLMs;
- Good communication skills for working with multidisciplinary teams.
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