Overview:

• Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”
• Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.

Scope

• Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.
• Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.

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Our current technical environment:

• Software: Python 3.*
• Frameworks/Others: Keras, TensorFlow, BigQuery, Apache Beam, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, Flask.
• Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
• Cloud: Google Cloud

What we are looking for:

• 5-7 years of experienced Python Developer. 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.
• Has an understanding of the problem domain the team works on.
• Is perceived as the expert in a small area within the team and is the go-to person for related implementational and operational issues.
• 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.

What you will do:

• Participates in team activities such as backlog grooming, planning, daily standups, and retrospectives.
• 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.
• Has mastered some of Blue Yonder's domain expertise with knowledge acquired from past projects.
• 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 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.