As part of the AI team you will:
Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows tailored to real-world challenges in clinical settings.
Prepare, process, and analyze complex medical data to support algorithm development and validation.
Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.
Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.
Research, develop and integrate cutting-edge text based alogirthms on medical text.
Apply NLP and Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.
Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.
Organize and actively participate in seminars, book clubs, and conferences.
Main Technical Stack:
NLP/LLMs: Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock
Infrastructure: AWS, Docker
Programming Languages: Python
Deep Learning Frameworks: TensorFlow, Keras, Pytorch
Required Qualifications:
Minimum of 5 years of hands-on experience in algorithm development using Python
A strong foundation in software engineering principles and clean, efficient coding practices.
Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows
Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments
Strong interpersonal and communication skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.
Preferred Qualifications:
Experience with AWS
Experience in the medical domain
M.Sc. or higher in Computer Science or a related scientific discipline.
