Senior AI/ML Engineer - R01570503
Core
Design, develop, optimize, and deploy classic machine learning and deep learning models for scalable production use on Google Cloud Platform.
Role type
Senior AI/ML Engineer
Builds
Production ML models integrated on Google Cloud Platform
Domain
Data Science / Machine Learning / AI Engineering
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet, hypothesis testing, T-Test, Z-Test, linear regression, logistic regression, decision trees, support vector machines, exponential smoothing, ARIMA, ARIMAX, probabilistic graph models, distance metrics (Hamming, Euclidean, Manhattan), KubeFlow, BentoML, Great Expectations, Evidently AI
Preferred skills
GenAI, agentic AI, PySpark, SAS, SPSS, R, R Studio
Technologies
Google Cloud Platform, KubeFlow, BentoML, TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet, Great Expectations, Evidently AI
Responsibilities
Design, develop, optimize, and deploy classic machine learning and deep learning models; Conduct exploratory data analysis, hypothesis testing, regression, classification, and other statistical analyses; Deploy and integrate AI/ML models on Google Cloud Platform for scalable production use; Use KubeFlow and BentoML for model orchestration, deployment, and monitoring; Perform forecasting with exponential smoothing, ARIMA, and ARIMAX methods; Apply probabilistic graph models and advanced statistical methods to improve predictive accuracy and interpretability; Maintain data quality and model performance using Great Expectations and Evidently AI
Seniority
Senior, hands-on IC
