Demonstrate proficiency in NLP techniques and models such as BERT, Transformers, GPT to train and improve current ML models.
Motivated to improve the scalability of triage models through MLops and self-serving tools.
Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code.
Collaborate with data engineers to build scalable and robust data pipelines to support key business metrics, customer-facing dashboards or model training.
Investigate and improve model performance with sound analytical approaches.
Apply quantitative methods and curate relevant data sets to address challenges in different components of the Triage system.
Drive projects forward by forming close collaborations with cross-functional partners to reach the end deliverables, such as production-grade models or analyses that shape the technical vision.
Requirements & Skills:
You have advanced degrees in Math/Statistics, Engineering, Physics, Computer Science, Economics, or equivalent practical experience.
You have strong experience in NLP and LLM models and have experience in applying them to real-world problems.
You have 7+ years of experience solving real-world problems using quantitative approaches and machine learning.
You have excellent analytical skills and are able to provide cross-functional teams with data-driven insights.
You have expertise in programming skills (e.g. Python or R), visualization, SQL, data modeling, ETL, and data warehousing concepts.
You are comfortable proposing engineering enhancements/changes.
You are comfortable with ambiguity and able to thrive with minimal oversight and process.
You are an effective communicator; and you empathize with customers and stakeholders to build meaningful relationships.
You are curious and bring genuine excitement to learn new subject areas and are comfortable to be scrappy when needed.