Conducting research and experiments to leverage generative AI models and techniques to solve real-world challenges in healthcare.
Designing and implementing LLM-native pipelines, including fine-tuning existing generative AI models and developing applications based on them.
Collaborating with cross-functional teams to enhance our medical file summarization tool, which helps physicians better manage and improve the patient journey for individuals with autoimmune diseases.
Driving innovation in digital healthcare by applying AI to streamline and optimize the use of medical data.
Job requirements
1+ years of hands-on experience developing and deploying LLM-native applications inproduction.
3+ years of hands-on experience in software development (preferably in Python).
Proven experience working with cloud platforms (e.g., AWS, GCP, Azure), Docker, Linux, and NoSQL databases.
Academic background in exact sciences or engineering.
Strong problem-solving skills, technical independence, and attention to code quality and efficiency.
Additional Skills that Stand Out
Experience with RAG and structured generation frameworks (e.g. LangChain, LlamaIndex).
Familiarity with multi-agent systems.
2+ years of experience in data science and machine learning, including model training and deployment on tabular and text data.
Background or experience in digital health or working with clinical data.
Reach out through –simone@predicta-med.com
1+ years of hands-on experience developing and deploying LLM-native applications inproduction.
3+ years of hands-on experience in software development (preferably in Python).
Proven experience working with cloud platforms (e.g., AWS, GCP, Azure), Docker, Linux, and NoSQL databases.
Strong problem-solving skills, technical independence, and attention to code quality and efficiency.
Additional Skills that Stand Out
Experience with RAG and structured generation frameworks (e.g. LangChain, LlamaIndex).
Familiarity with multi-agent systems.
2+ years of experience in data science and machine learning, including model training and deployment on tabular and text data.
Background or experience in digital health or working with clinical data.
Reach out through –simone@predicta-med.com
