Work with engineering and product teams to design and build pipelines that support both traditional ML models and emerging AI workflows
Develop and deploy NLP, LLM, and machine learning models that power Widewail’s new data products
Experiment with agentic flows, retrieval architectures, and modern AI toolchains across AWS Bedrock, OpenAI, and other providers
Explore and analyze data from multiple sources to uncover meaningful insights, identify customer-facing opportunities, and help translate raw signals into reliable, scalable models and features
Collaborate with engineering to move prototypes into production environments that support real customer usage

Requirements

Two or more years in a full-time ML, data science, or applied AI role after graduation
Strong SQL skills
Strong foundation in statistics, machine learning, and data modeling
Experience developing, evaluating, and iterating on ML models
Experience with Python for modeling and data transformation

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningnatural language processinglarge language modelsdata modelingstatisticsSQLPythondata transformationmodel evaluationmodel iteration