Sr. Machine Learning Engineer Position Available In Palm Beach, Florida
Tallo's Job Summary: The Sr. Machine Learning Engineer role requires expertise in Machine Learning Models, Docker, Kubernetes, SQL, Excel, and BI tools. Responsibilities include building and deploying ML models, feature engineering, collaborating with stakeholders, and following ML model management best practices. The position involves working with cloud infrastructure like AWS SageMaker and Azure. -18808-Ljbffr.
Job Description
Job Description:
Mandatory skills: A blend of person who is familiar with MachineLearning Models, Docker, Container, Kubernetes, SQL, Excel, PowerBI or Tableau. Build machine learning models in open-source packages likePython and deploy using cloud infrastructure available in AWSSageMaker and Azure Client flow. Understand the business requirement and suggest evaluating theright features and techniques best suited to train and test themodel. Work on feature engineering to ensure most information goinginto the model for prediction accuracy. Work with cloud architecture and digital development team todeploy the model online and offline. Work with the testing team to design the test online or offlineand work towards improving the model based on test results. Collaborate with internal stakeholders to understand thebusiness strategy and work towards supporting that by gathering theright data and building machine learning models. Follow machine learning model management and lifecycle bestpractices for all Artificial Intelligence and Machine Learningmodels created. #J-18808-Ljbffr
