Location: Anderlecht
Languages: English
Employment Type: Freelance
Start Date: ASAP
Context of the mission/objective(s) of the job
The ML Engineer - Clinical Development will be responsible for developing and implementing Machine Learning models and AI solutions to support clinical development projects. The role involves working closely with stakeholders to understand their needs, analyzing and improving data pipelines, and ensuring the quality and efficiency of AI-driven processes. The engineer will also be tasked with researching and integrating new AI technologies to enhance the clinical development workflow.
Responsibilities
- Develop GenAI assistants to support clinical development
- Build data pipelines to parse documents using custom developed and off-the-shelf methods (document intelligence, entity recognition, ...)
- Collaborate with stakeholders to understand their requirements and present data-driven insights
- Research and evaluate different AI models and technologies for potential integration
- Develop backend framework using Python and FastAPI
- Ensure the quality and efficiency of AI solutions through continuous testing and optimization
Requirements
Suggested qualifications
- Experience with ML/AI-based products, particularly generative AI (LLM, embedding, ...)
- Experience in the healthcare, pharmaceutical or clinical development sector is a plus
- Proficiency in GIT, Python, Experience with FastAPI is a plus
- Strong knowledge of ML/(gen)AI frameworks and libraries, specifically Langchain and transformers
- Experience with data analysis and visualization tools such as Pandas and NumPy
- Experience working with cloud platforms such as AWS or Azure, specifically Azure AI. Familiarity with Kubernetes is a plus
