Alldus

As a leading retailer in Europe my client has a lot of untapped data to utilize and help digitally transform the business. They are hiring a Data Warehouse Engineer who will be a key person in helping to build out a smarter functioning Data Warehousing system. Responsibilities Leading the operation and further development of the Oracle Hyperion-based financial data warehouse (reporting, ad-hoc analysis, forecast and budget) planning). Lead the building of the ETL solutions and interfaces in a cross-functional team Implement database structures using Hyperion and MS-SQL.

Would you like the security and challenge of working for a leading Retail/Ecommerce company where you have access to some of the largest data sets and adding real business value by building complex Machine Learning systems? The Machine Learning Engineers talk with the business and solve complex business challenges by building new Machine Learning products to improve the experience with todays consumers, Impacting millions of people worldwide. Responsibilities: Design, Build and Productionize intelligent Machine Learning products using the latest Data Science and ML techniques like Supervised , Unsupervised and Reinforcement Learning Build , Test and Monitor your models through best practices on Model Development and MLOps. Help to ship the product into live production in a cross-functional team of Data Engineers and Cloud Platform Engineers Lead projects and Mentor more Junior members of the team Requirements: 5+ years of experience designing and...

Would you like the security and challenge of working for a leading Retail/Ecommerce company where you have access to some of the largest data sets and building of Data products and tools for the advancement of complex Data and AI systems? The Data Engineers talk with the business and build leading tools and data products that help with the ingestion and transformation of TBs of data for critical AI systems, Impacting millions of people worldwide. Responsibilities: Bring analytical applications from proof-of-concept to production and ensure their quality and sustainability Build scalable and fast data and machine learning pipelines using Python and Spark Industrialize data products in the cloud with your colleagues in interdisciplinary agile teams with data scientists, software and platform engineers, product owners and department leads. Lead projects and Mentor more Junior members of the team Requirements: 5+ years of experience in the development...

Do you want the opportunity to work at one of the largest retailers in Europe? Our client is looking for a Cloud Platform Engineer to join their team and work with state-of-the-art big data and cloud technologies within their Artificial Intelligence department. Your Tasks; Support in setting up and securing the AI cloud platform and take responsibility for interfaces to numerous systems and areas Development of new solution approaches and architectures with different cloud technologies for data products and automate processes within the platform Collect new requirements and work on their technical implementation Responsible for the introduction of new technologies and their integration into the existing system landscape Your Skills; Enthusiasm for the topic of cloud platforms and software development Several years of experience in setting up, developing and operating cloud-based solutions, from the network to the end application, preferably in Microsoft Azure...

As a leading retailer in Europe my client has a wealth of untapped data to utilize and help drive transformations for a customer-centric business. They are hiring a  MLOps Engineer  to build out ML infrastructure solutions for their new Machine Learning capability. This will help the company stay competitive as the #1 provider for their products driving digital changes that put the customer at the heart of everything. Responsibilities Design, development and maintenance of Machine Learning tools and infrastructure solutions. Implementation of Machine Learning pipelines in the cloud in particular focusing on deployment, model registry, training and testing Development of tools and solutions to ensure high data quality and continuous operation of the data pipelines Working with a cross functional team in Machine learning to develop tools and processes for data labelling, AI service monitoring, storage of experiment results, feature store and more. Requirements...