Artificial Intelligence/Machine Learning Engineer

Mandatory Qualifications : - Good communication - Python - Intermediate Level - ML and Deep Learning - understanding of basics, some practical experience using Python for ML and DL. - Deep Learning - Artificial Neural Networks, Convolutional Neural Networks - non- development Intermediate Level. - QA/Test - Performance tests execution, recording the results and comparing across the runs. - Basics of Linux command line. - NLP - Basics - Knowledge of Pytorch and Tensorflow - Assist external parties to upload required code and data into an air gapped environment. - Scan code and data for malicious code, viruses, etc. - Follow procedures to provision and store scanned models and code in the appropriate secure mount point and secure GitHub repository. - Verify the model runs on CPU. - Run model on GPU and gather performance and accuracy characteristics. - Evaluate the model for any nodes that are not supported at this moment. - Work with CE to determine if an alternate node should be used or if a Feature Request needs to be filed. - Provide feedback through Salesforce Service Cloud Case mechanism. - Run the model and gather performance and accuracy characteristics. - Compare the number with Customer Engineering and determine if specific feature engineering teams need to be engaged to improve model performance or accuracy. - Keep continuous updates on the stage the porting efforts are in and provide realistic ETAs back to Customer Engineering. - Evaluation of the existing model libraries to ensure that there are no performance or regressions on a new software release. - Identify and areas that can be automated within this entire process. - Provide feedback on all stages of the operation to Customer Engineering. (ref:hirist.tech)

Location: pune, IN

Posted Date: 11/28/2024