Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, the role involves:

• Building AI products and deploying scalable machine learning solutions to complex, real-world problems in clinical research.
• Developing advanced ML models and LLM-powered agents for use cases such as patient recruitment and enrollment forecasting.
• Leveraging cloud tools and MLOps practices to build robust data pipelines and deploy models at scale, using technologies like Python, AWS, and CI/CD automation.

Required skills for the role:

• Extensive ML engineering experience with building and deploying machine learning solutions in production at scale.
• Strong programming and data skills, specifically proficiency in Python and working with large datasets.
• Deep ML/AI knowledge, including proficiency in machine learning fundamentals and familiarity with NLP and large language models.