Enterprise Functional Architect Int - PD @ Blue Yonder

Primary Duties and Responsibilities

Consistently delivers solid quality and helps the team, in particular:

* Is responsible for designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or other techniques to solve a Blue Yonder business problem under the supervision of a senior team member or manager.

* Stays current with scientific libraries and development tools.

* Continuously improves themselves and the code they produce.

* Develops quality software according to clean code principles and Blue Yonder standards.

* Is perceived as the expert in a small area and is the go-to person for related implementational and operational issues.

* Demonstrates ability to share knowledge and synergies between solutions.

* Participates in the operation of machine learning services through rolling out changes, resolving incidents, and fulfilling service requests.

* Clearly communicates impediments and actively seeks support by team members to overcome obstacles.

* Has a deeper understanding of the problem domain the team works on.

* Demonstrates problem solving and innovation ability.

* Integrates new models and algorithms into a product solution with limited assistance.

* Translates business requirements to user stories and actively seeks feedback by the stakeholders.

* Timely and proactively communicates impediments to commitments.

* Communicates information in the team.

* Communicates information internally and assists in external communication with customers and partners.

* Acts according to company and team visions and requires user stories to adhere to those visions.

* Writes effective test cases.

* Actively provides feedback during code reviews.

* Understands functional and technical requirements of software components.

* Participates in translating scientific contributions into patents, publications, or conferences.

* Autonomously pulls issues from the team backlog or supports other team members with their issues as appropriate.

* Participates in team activities such as backlog grooming, planning, daily standups, and retrospectives.

* Participates in team hiring activities.

* Understands infrastructure costs of machine learning algorithms embedded in delivered products and services and makes diligent use of provided resources.

* Identifies inefficient use of computational resources in the machine learning pipeline and uses adequate patterns and technologies to resolve this.

* Scales machine learning pipeline to meet throughput targets and time windows.