Machine Learning / AI Engineer

A Machine Learning / AI Engineer develops and deploys machine learning models and solutions to support research and clinical data analysis within the life sciences sector. The role involves working with cloud platforms like AWS and GCP, as well as container tools such as Kubernetes and Docker. Candidates must collaborate with multidisciplinary teams including data scientists and software engineers to integrate AI models into applications. Responsibilities include ensuring models adhere to industry standards, deploying scalable pipelines, and participating in genomics, diagnostics, or clinical analytics projects. Strong expertise in Python, ML frameworks, and cloud infrastructure is essential, along with problem-solving skills and experience in cross-functional environments. Familiarity with healthcare data and LLMs will be advantageous for success in this position.