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Principal Solution Architect AI/ML

PORTLAND-97205, OR, US
12/28/2020

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Required Skills

Microsoft Azure

Company

Cloudious

Experience

3 to 7 Year(s)

Job Description

RESPONSIBILITIES:

Evangelize break through AI/ML solutions, specifically passionate about consumer analytics, driving personalization for Nike consumers across a broad spectrum of experiences
Architect and design advanced analytics solutions to power marketing communication and segmentation
Guide engineering teams to build AI/ML foundational services such as fraud detection, automated tagging, and A/B testing
Partner with Product and Engineering leadership to build standard framework and patterns for feature engineering, model building, training, and serving
Participate in design and engineering of data science applications solutions that have significant strategic impact and achieve long term competitive advantage.
Embrace and influence domain driven design and architecture principles of security, privacy, scale, uptime and reliability
Partner with business leaders to provide expert technical advice and influence strategic decision making
Guide and mentor engineering teams to raise collective technical expertise
Demonstrate a strong bias for architecture principles balanced with tactical timelines, cost and risks
Contribute to architecture guiding principles, development standards, training and hiring
Qualifications:

Bachelor's degree in Computer Science or related subject area
3+ years in technology architect or engineering leadership roles
3+ years of experience in the field of Machine Learning, AI, Deep Learning
5+ years providing technical leadership to technical, business & multi-functional teams
7+ years in hands-on experience in software engineering with depth in data and analytics
Experience with model development, management, and deployment in production.
A solid understanding and experience managing high volume, variety and velocity data such as telemetry data from sensors, clickstream or unstructured data like images and speech.
Experience implementing AI/ML applications such as recommendations, forecasts, and sentiments
Solid experience in software development in languages like Java, Python etc. Experience working with RESTful API and streaming.
Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational databases, real time and batch data processing.
Experience leading enterprise cloud/virtual architectures like AWS, Microsoft Azure, etc.
Demonstrated track record of leading within sophisticated organizations requiring strong influence leadership skills - ability to work cooperatively at all levels in matrix environment
Exceptional collaboration, listening, written and verbal communication skills with ability to facilitate technology strategy, requirements and architecture conversations with all partners (management, business users, and technology resources)