Overview :
- Within the Scalable AI team, we sustainably solve the recurring challenges that arise in enterprise AI solutions by applying the latest cognitive platform and solutions to the first customers.
- We thereby support the application of a plethora of AI-fueled products by providing in-depth software solutions to questions regarding automation, testing, reliability, model and data quality.
- You will join a highly motivated team of Data Scientists and Software Engineers that strives for a seamless end-to-end use of forecasting and other state-of-the-art technologies along the supply chain.
Scope :
Develop, apply and operate software tools in BY SDK (GenAI framework)To support customer onboardings and operationsTo automate deployment and testing of solution templates and customer configurationsLeverage Microsoft Azure cloud services to build scalable services for our internal usersWrite clean, well-structured, documented and efficient, maintainable code that adheres to software development best practicesAutomate workflows and sequences by leveraging existing APIs of the cognitive platformWorking in an agile team with an emphasis on quality, testability, and automationCreate software artefacts and microservices for internal teams and external customersCollaboration with Data Scientists, Solution Architects and Software Engineers of other teams in the Blue Yonder microservice landscape to develop tools for the scalable use of AI solutions in supply chainOur current technical environment :
Software : Python 3, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure MLApplication Architecture : Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architectureCloud : MS AzureFrameworks / Others : Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPIWhat we are looking for :
8+ years of experience in software development and / or development of applicationsGraduate degree in computer science, statistics, or a related quantitative field, is required.Profound knowledge of Python and associated tooling (mypy, black, pytest, pip, IDEs etc.)Ability to write production-ready codeExperience building and maintaining software artifactsExperience with microservices and REST APIs using frameworks like Flask or DjangoExpertise in working with SQL and database technologies, for example PostgreSQL or Snowflake is a plusUnderstanding of data engineering paradigmsPassion for CI / CD, DevOps, Clean CodeInterest in modern methods such as Kanban, Scrum, test driven development and pair programmingCustomer project or support experienceExperience working in an Azure cloud environment to facilitate data solutions.Knowledge on Agentic AIGood to have :
PyData libraries like pandas, scikit-learn, TensorFlow, or pytorch is good to haveData science and Machine Learning knowledge, preferably forecasting techniquesHands-on data analysis and visualisationOur Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here : Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.