Data Scientist AI/ML

Job Title: Data Scientist AI/ML

Job Duration: 12 month

Job location: Irving, TX

Responsibilities:

• Develop new AI/ML models with little to no supervision off of data acquired directly from business partners;
• Mentor other team members and data analytical groups;
• Take the lead in developing innovative advanced analytical solutions for complex application problems;
• Position requires the development of advanced graphic visualization concepts to map and simplify the analysis of heavily-numeric data and reports;
• Research, design, develop, and test various AI/ML frameworks and models;
• Work with GTS and Business client to understand their business and technical needs and design AI solutions that make the best use of the shared services our team is delivering;
• Document new solutions as well as maintaining that of existing ones;
• Design and implement various transformative and critical Digital Agents, AI Cognitive Services, ML/Deep Learning enhanced business use cases;
• End-end delivery of automation/AI use cases from pilot/design to release;
• Evaluate and classify various AI/ML implementations and map it against applicable use cases;
• Candidate must be well versed in the domain of AI/ML and able to build complex solutions and models from the ground-up without much supervision. Solutions would include Business use cases across the various Vz Business Units;
• Candidate must be able to develop new AI/ML models with little to no supervision off of data acquired directly from business partners;
• Mentor other team members and data analytical groups;
• Take the lead in developing innovative advanced analytical solutions for complex application problems;
• Develop production of support documentation;
• Support functional/system integration testing support;
• Plans work out appropriately, effectively communicates and responds to escalations/inquiries;
• Develops Build and Deployment guide;
• Triaging defects, impact analysis, resolution planning and implementation;
• Experience in solution architect/data scientist/software development for corporate/organizations;
• Experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc.;
• Experience in building and deploying ML models using libraries such as scikit-learn, TensorFlow, PyTorch, MXNet, etc.;
• Strong software development background;
• Experience working with large codebases;
• Strong knowledge of common algorithms and data structures;