Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables and assist in the building of a variety of tools and services.
Work closely with data engineers and other engineering teams on data analysis, data preparation, and data preprocessing.
Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security policies.
Train, evaluate, and validate ML models using cloud computing platforms.
Serve trained models as prediction services into the production environment.
Follow MLOps best practices to develop and maintain machine learning pipelines that can automate the retraining and deployment of new models.
Requirements & Skills:
Requires a Master’s degree in Computer Science, Computer Information Science, Information, a related field, or a foreign equivalent.
Must have 2 years of experience in a job offered or related occupation.
Must have 2 years of experience in Linear Algebra, Statistics and Machine Learning; Python; ML models and algorithms, such as anomaly detection, clustering, multiclass classification with booster algorithms; Building machine learning models, pipeline (java skill), and deployment; Natural language processing, computer vision, data mining; and Tech stack: Scikit-learn, Tensorflow, Pytorch, MLflow, Kubeflow, Databricks, Snowflake.
Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.
