Description

You will design and implement complex machine learning pipelines and automated learning systems to solve business use cases.

Responsibilities

• Design and implement complex machine learning pipelines and custom monitoring solutions.
• Develop and optimize RAG pipelines and apply prompt engineering methodologies.
• Create LLM human-in-the-loop or automated learning systems and apply model fine-tuning.
• Perform data acquisition, cleaning, curation, and exploratory data analysis.
• Collaborate with technical and non-technical stakeholders to deliver data science solutions.

Required Skills

• 10+ years of experience in a data science role.
• Expert-level Python development experience.
• Expert-level SQL experience.
• Deep expertise in developing and interpreting complex statistical models.
• Extensive knowledge of machine learning models, feature engineering, and hyperparameter tuning.
• Deep expertise in ML Ops and creating custom monitoring solutions.
• Proficiency in querying and using clinical data.
• PhD in a data science-related area.
• Bachelor's degree in a STEM or related field.

Preferred Skills

• 8+ years of data analysis experience in healthcare.
• Proficiency in Epic Clarity clinical data models.
• Experience with Google Cloud Platform, including BigQuery and VertexAI.
• Experience with Git, GitHub, and Docker.
• Google Machine Learning Engineer Certification.

Key Skills

Education

Any Graduate