Principal Engineer-AI Science

What you'll be doing:

As a Principal (AI Scientist) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases

• Designing and building scalable machine learning models to meet the needs of given Business engagement. Provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices.
• Working in collaborative environment with global teams to drive solutioning of business problems.
• Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations.
• Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources.
• Assisting with the mentorship and development of Junior members. Drive team towards solutions.
• Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices.

What we're looking for

You have strong analytical and coding skills, eager to work in a collaborative environment with global teams to drive AI/ML application in business problems, develop end to end AI driven solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and global cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice.

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in implementing production use cases in the area of time-series forecasting and optimization.
• Experience in building large scale time-series forecasting solutions with proven business benefits.
• Experience with Deep Learning and application of transformer based architecture for various NLP, image or other use cases.
• Experience with diverse inputs, including (but not limited to) text, clickstream and sequential data.
• Working knowledge of packages like Pytorch, Keras and Tensorflow.
• Experience in machine learning, deep learning, and statistical modeling techniques.
• Experience in programming skills in Python or other related languages.
• Experience with natural language processing, computer vision, or audio processing.
• Experience in designing and implementing forecasting and optimizing algorithms, demonstrated through publications, projects, or industry experience.

Even better if you have one or more of the following:

• Master's degree.
• Experience in writing and publishing original white papers in data science.
• Experience of working in AI projects in telecom domain.
• Experience in working on cloud platforms like GCP
• Problem-solving skills and ability to work on complex, open-ended research problems.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.