Machine Learning Solutions Architect

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Posted Date
01-19-2022
Job ID
22922
Job Function
Information Technology
REI City
Seattle
REI State
Washington
REI Location
Seattle HQ
Remote Eligible
Yes
Please visit the Covid-19 Hiring Updates before applying
What's cool about this job

REI is committed to becoming a fully inclusive, antiracist, multicultural organization. To fulfill our brand promise of enabling a life well-lived outside for everyone, we are seeking candidates who demonstrate shared values of diversity, equity, inclusion, and antiracism.


Business Intelligence & Analytics team at REI has been going through a transformational journey to enable the co-op to be a data driven organization. Along with a complete revamp of the entire analytical platform ecosystem which includes onboarding new technologies and migrating to Cloud, the team continues to enhance our already rich data platforms with additional data and develop new analytical products that helps to drive actionable insights across the Co-op. One of the Strategic initiatives of the Co-op for the next three years is leveraging AI/ML capabilities in solving complex business problems. In support of this, the BI & Analytics team is growing to accelerate the development of AI models and standing up an Enterprise MLOps team to automate,deploy and support  Machine Learning pipelines developed by Data scientists from across the Co-op.  


As a Machine Learning Solution Architect, you will have the opportunity to define the architecture and design of Machine Learning pipelines that integrates with other enterprise applications. The use cases you get to tackle varies from Supply Chain optimization, eCommerce website optimization, Customer retention, Personalization, Demand Forecasting, Inventory Optimization and others. You will also play a pivotal role in defining and implanting the technology landscape needed in support of Machine Learning development and deployment.  You also get to be part of a super fun team and an organization that values work-life balance and inspires you to live a life outdoors!


Responsibilities

  • Lead, design, and document the solution architecture required to support Machine Learning projects.
  • Determine and document the architectural decisions that constrain the design and implementation of a solution, such as selection of technology, design and delivery methodology, and programming language.
  • Provide direction to the technical team during the development and delivery of the solution, ensuring the solution fits with the enterprise architecture principles and guidelines.
  • Validate and approve the deliverables from the technical team during the development phase.
  • Resolve issues related to the solution architecture; recommend alternative solutions and corrective actions.
  • Participate in the development of system assurance and user acceptance testing plans.
  • Participate in project planning and schedule development.
  • Partner with other team members in identifying project issues and risks, establishing contingency plans, and identifying triggering events for mitigating action.
  • Participate in the evaluation and selection of software product standards, as well as the design of standard software configurations.
  • Collaborates with Enterprise Architects to develop the technology “roadmap” (Business Initiative Roadmap) for the assigned business, and to plan the transition from the current architectural framework to the target architecture of the future. Ensures that business-level planning integrates with corporate strategic roadmap.
  • Collaborates with Enterprise Architects, Business analysts, and other divisional Solution Architects on a wide range of technology projects, including software development, package installation and infrastructure upgrades and changes that may have impact across several technical areas including: processes, software, data, network and system
Bring your passion and expertise
  • 5+ years’ experience in designing systems architecture for large-scale, mission-critical databases, applications and system integrations.
  • 2+ years’ experience deploying AI model pipelines in real-world environments and integrating AI/ML and other Cloud services into large-scale production applications.
  • Deep understanding of AWS Services related to AI/ML, particularly Amazon SageMaker, Amazon EKS, Amazon EMR, AWS Lambda, Machine Learning, IoT, Amazon DynamoDB, Amazon S3 etc.
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
  • 5+ years of experience with writing advanced SQL queries.
  • Demonstrated strength in data modeling, ETL development, and data warehousing using relational Database technologies like Snowflake, Bigquery, Redshift, Oracle, SQL Server etc
  • Bachelor's degree in computer science, engineering, mathematics, or related field of study OR 5+ years of professional work experience.
  • Must possess strong verbal and written communication skills, be self-driven, accountable and constant learner.
  • Experience working for a large retail company is preferred.
  • Experience with Data Science Platforms like Dataiku, Domino Data Lab, Datarobot etc is preferred
  • Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale is preferred.

REI hires, trains, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.  We remain deeply committed to making the Co-op a place where everyone can feel safe and be themselves. Join us.



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As required by applicable Pay Transparency laws, REI provides a range of minimum compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors. The salary range for this position may be lower or higher in different markets.

The pay for this role is: $85,000 to $170,000 per year  
At REI we offer an enviable work environment that Fortune Magazine has recognized on the "100 Best Places to Work" list since the award's inception – 23 years in a row! Sure, we work hard, but it’s balanced with time off to play—a strategy that works for us as we continue to grow and thrive. Want to enjoy a workplace where you can be yourself, be heard and be respected while having a job that challenges you? This is the place.

With more than 160 retail locations (and growing), REI offers unique competitive benefits to its more than 15,000 employees, including healthcare, gear and apparel discounts, free equipment rentals and challenge grants to help employees reach personal outdoor goals, generous retirement plan contributions, public transit subsidy, adoptions assistance, paid sabbaticals, and more.

REI is an Equal Opportunity Employer

Posting Range
$85,000 to $170,000 per year
NEW YORK CORRECTION LAW
ARTICLE 23-A, Section 753
LICENSURE AND EMPLOYMENT OF PERSONS PREVIOUSLY CONVICTED OF ONE OR MORE CRIMINAL OFFENSES

§753. Factors to be considered concerning a previous criminal conviction; presumption.

1. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall consider the following factors:

(a) The public policy of this state, as expressed in this act, to encourage the licensure and employment of persons previously convicted of one or more criminal offenses.

(b) The specific duties and responsibilities necessarily related to the license or employment sought or held by the person.

(c) The bearing, if any, the criminal offense or offenses for which the person was previously convicted will have on his fitness or ability to perform one or more such duties or responsibilities.

(d) The time which has elapsed since the occurrence of the criminal offense or offenses.

(e) The age of the person at the time of occurrence of the criminal offense or offenses.

(f) The seriousness of the offense or offenses.

(g) Any information produced by the person, or produced on his behalf, in regard to his rehabilitation and good conduct.

(h) The legitimate interest of the public agency or private employer in protecting property, and the safety and welfare of specific individuals or the general public.

2. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall also give consideration to a certificate of relief from disabilities or a certificate of good conduct issued to the applicant, which certificate shall create a presumption of rehabilitation in regard to the offense or offenses specified therein.