Senior Machine Learning Engineer

In this role, you would:

Lead AI and ML initiatives, designing and implementing production-grade machine learning systems and pipelines.

Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability.

Assemble, analyze, and interpret large, complex datasets to meet functional and strategic requirements.

You will gain:

Establish and promote data engineering best practices and standards for efficient access and use across teams.

Collaborate with cross-functional teams including Product, Clinical, Data, and Design to drive innovation and efficiency.

Create internal tools and libraries to enhance workflow efficiency for analytics and data science teams.

The skills needed:

Strong proficiency in Python and SQL, with experience in efficient, maintainable ML code development.

Hands-on experience with modern LLM models, transformers, and deploying ML models in production environments.

Excellent analytical, problem-solving, and communication skills, with the ability to work in a remote, cross-functional team.