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 AI solutions for Warehouse, Commerce, Transportation and Workforce management system. 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.
Our current technical environment:
Software: Python 3.*
Frameworks/Others: TensorFlow, PyTorch, Snowflake/BigQuery, TFX, Apache Beam, Kubeflow , Kubernetes, Kafka, Pub/Sub, and Flask.
Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
Cloud: Azure/GCP
What we are looking for:
- Bachelor’s Degree in Computer Science or related fields; graduate degree preferred.
- Solid understanding of data science and deep learning foundations.
- Proficient in Python programming with a solid understanding of data structures.
- Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib etc.
- Expertise in any database query language, SQL preferred.
- Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc.
- Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform).
- Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
- Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
