Principle Data Science Architect

Job DescriptionThe Principle Data Science Architect is a crucial role within our organization and will require a hands on approach with proven experience in the AI-driven solutions space. We would love to hear from you if you are a seasoned professional with a solid track record.We are currently seeking an experienced and highly skilled Principal Software Solution Architect to join our dynamic Sales and Marketing team. This role focuses on developing and driving the implementation of AI driven solutions from low-level understanding CUDA to the top layer, including software, cloud applications, and vertical use cases.Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products. Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or longterm time frames. May research to define boundaries, create proof of concepts, or prototype new ideas.Qualifications

• BSc./MSc. in Computer Science, Computer Engineering, or related fields.
• 4+ years of experience in developing machine learning, deep learning or NLP models.
• Strong theoretical background in Deep Learning and NLP.
• Extensive experience in software engineering, primarily Python and C++.
• Experience with deep learning frameworks such as Pytorch or Tensorflow.
• Good written and verbal communication skills for expressing technical ideas and initiatives

Inside this Business GroupIntel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.htmlWorking ModelThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

In certain circumstances the work model may change to accommodate business needs.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.