Radiant Digital

Data Scientist AI/ML Implementation Specialist-21416

It Analyst in Irving, TX

Posted 2019-08-16
Description

Description:

Bachelor's degree in computer science, information systems, statistics, or other related field. Ability to manage multiple assignments. Superior written and oral communication skills. 6-10+ years of experience.

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;
MUST HAVE SKILLS:
Prior experience of working in a DevOps role;
4+ years of experience in software development using Python and Node.js for corporate/organizations;
2+ years of IT experience in solution architect/data scientist/software development for corporate/organizations;
2+ years of 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.;
1+ year 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;

DESIRED SKILLS:
Agile Delivery Principles, experience working in a Scrum team using Agile methodology;
AWS Cloud-based Technologies / Services;

EDUCATION/CERTIFICATIONS:
6+ Years Experience
Bachelor Degree

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