Senior ML Engineer, Credit Risk - Fintech AI/ML

Intuit, Inc.; Mountain View (CA); Presencial; USD 171 000 - 232 000; Tempo integral

Resumo da oferta

Intuit, Inc. in Mountain View is seeking a Senior Machine Learning Engineer to join the Fintech Risk AI/ML team. You will embed with data scientists to design, code and deploy scalable ML models and web services for risk management.

You will work on data wrangling, feature engineering, training pipelines, and cross-functional collaboration with product managers and engineers. Expect to contribute to A/B testing and model evaluation in a fast-paced environment.

Qualificações

• BS/MS/PhD in CS or related field, or equivalent work experience.
• 6+ years of experience in ML engineering or data science.
• Proficient with Python, Scikit, Numpy, Pandas, TensorFlow and Keras.
• Experience with REST APIs and deploying web services.
• Familiarity with SQL, data wrangling and feature engineering.
• Experience with AWS and GPU acceleration (CUDA/cuDNN).
• Strong communication and ability to explain complex concepts.

Responsabilidades

• Embed with data science teams to conceive, code and deploy models at scale.
• Develop and maintain web services that orchestrate ML functions.
• Perform data wrangling, feature engineering, model development and testing.
• Build and optimize data pipelines for training and deployment.
• Collaborate with product managers and engineers to communicate results.
• Run A/B tests and analyze results to measure impact.
• Explore new tech shifts to benefit the customer experience.

Conhecimentos

6+ years experience

Communication skills

Team collaboration

Formação académica

BS/MS/PhD in CS or related field

Ferramentas

Python

Scikit-learn

Numpy

Pandas

TensorFlow

Keras

R

Spark

SQL

REST

AWS

CUDA

cuDNN

Java

Scala

Descrição da oferta de emprego

Intuit, Inc. in Mountain View is seeking a Senior Machine Learning Engineer to join the Fintech Risk AI/ML team. You will embed with data scientists to design, code and deploy scalable ML models and web services for risk management.

You will work on data wrangling, feature engineering, training pipelines, and cross-functional collaboration with product managers and engineers. Expect to contribute to A/B testing and model evaluation in a fast-paced environment.