How do we start creating the future?
Imagine what we can do together.
iOS Software Developer
You want to help shape the digital future of our customers as iOS Software Engineer. Your mission is to create new digital experiences, drive business innovation to explore new products, features & services. The goal is to identify new opportunities, prototype new product (-ideas) by leveraging design, research, and engineering while recognizing new digitalization strategies.
As part of the cross-functional product team contribute to the product success by developing state-of-the art iOS code, to develop & implement engaging new mobile experiences, ranging from POCs to end-user products. As part of a cross-functional product team, this role is also involved in ideating, creating and evaluating new Calima lifestyle services, customer engagements and driving experiences.
Software Architect - Industry Solutions
Definition of the technical vision for specific software products and services in coordination with the Calima Tech Lead and the respective Product Owner.
Collaborate with other Sprint Team experts to define functional and non-functional requirements for new software products and services.
Documentation and further development of the emerging product architecture.
Development of solution and implementation concepts taking into account system integration and technical feasibility.
Co-designing the relevant aspects of software development, from technology stack and workflows to coding guidelines.
Successful communication of all concepts and guidelines to the development team.
Monitoring the progress of development teams (e.g. Architecture Reviews).
Provision of technical consulting and coaching for software developers.
Ensuring that a software product meets all relevant requirements for quality, security, modifiability, expandability, etc. are actually fulfilled.
Passing through any necessary certification and approval processes.
Machine Learning Engineer
Help in setting up the environment that data scientists will use on projects related to ML, AI, and analytics
developing stacks in AWS CloudFormation and building templates for the automation of various AWS services.
Automating the setup process for technologies related to ML & AI.
Close collaboration with data scientists on an internal platform that will be used by a large number of ML experts.
Proactively communicating with other team members and project stakeholders.
Prior experience and knowledge is not required, but you will have a chance to get familiar with machine-learning frameworks, such as TensorFlow, PyTorch, NumPy, and MetaFlow, and big data frameworks such as Spark.