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What you'll be doing…
As a Principal Engineer (AI Science) you will lead and drive end to end solutions for AI 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.
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
What we're looking for…
1. Data Scientist and thought leader with experience in implementing production use cases in the area of personalization including recommendation
2. Should be well versed with Deep Learning and application of transformer based architecture for various NLP, image or other use cases
3. Should have worked with diverse inputs, including (but not limited to) text, clickstream and sequential data
4.Proven track record of designing and implementing successful personalisation and recommendation algorithms, demonstrated through publications, projects, or industry experience.
5.Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.
You'll need to have:
Bachelor’s degree or six or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience in building large scale personalization solutions and with proven business benefits
Experience with natural language processing, computer vision, or audio processing is highly desirable.
Solid programming skills in Python or other relevant languages.
Should have in depth working knowledge of packages like Pytorch, Keras and Tensorflow
Proficiency in machine learning, deep learning, and statistical modeling techniques.
Even better if you have one or more of the following:
Bachelor's/Master's/Ph.D. degree in Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative field with 6 or more years of relevant experience
Strong 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.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
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Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
