Description:

At OneStudyTeam, we specialize in speeding up clinical trials and improving patient outcomes through our cloud-based platform, StudyTeam.
As a Senior Machine Learning Engineer, you will build AI products that impact how new therapies reach patients.
You will develop advanced ML models and LLM-powered agents for use cases like patient recruitment and enrollment forecasting.
Your role involves leveraging modern cloud tools and MLOps best practices to build data pipelines and deploy models at scale.
You will collaborate with teams of data scientists, product managers, and engineers to integrate AI capabilities into our platform.
Continuous learning and innovation are key, as you will stay updated on ML/AI developments and experiment with new techniques.

Requirements:

You must have 5+ years of hands-on experience in building and deploying machine learning solutions in production at scale.
Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch) is required, along with clean coding practices.
Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker is necessary.
A strong understanding of machine learning fundamentals and familiarity with NLP and large language models is important.
You should possess analytical problem-solving skills to devise effective ML solutions for complex problems.
A passion for improving patient outcomes and empathy for stakeholders is essential.

You will have the opportunity to work on cutting-edge AI products that directly impact patient care.
The role offers the freedom to experiment with innovative techniques and turn prototypes into production features.
You will be part of a mission-driven organization that values diversity and unique contributions.
The position allows for remote work, providing flexibility in your work environment.
You will be part of a collaborative team that encourages continuous learning and professional growth.

Skills