Orcrist Technologies

Role Description This is a full-time remote role for a UI/UX Designer in Germany. We are looking for a candidate with a strong design background in business-to-business applications, big data, business intelligence systems, supply chain management platforms, or financial applications. In this role, you will be responsible for creating intuitive and engaging user experiences across multiple products. You'll play a crucial role in shaping and scaling our product with a focus on systematic, technology-informed, and data-driven product design. - User Research: Conduct user interviews, usability testing, and analyze user behavior to inform design decisions and improve product experiences. - Design Systems: Create and maintain comprehensive design systems, ensuring consistency across products and platforms. - UI Design: Develop visually appealing and functional user interfaces, from wireframes to high-fidelity prototypes. - UX Strategy: Define user flows, information architecture, and interaction patterns that enhance user experience. - Collaboration: Work closely with developers, product managers, and stakeholders to ensure successful implementation of design solutions. - Prototyping: Create low and high-fidelity prototypes to define the vision and execution of solving real user problems for our international customer base. - Design Innovation: Stay updated with UX trends and best practices, bringing innovative solutions to our projects. Qualifications - Experience: At least 5 years in UI/UX design roles working with complex digital products, such as business intelligence platforms, supply chain management systems, financial applications, and enterprise SaaS applications. A strong portfolio showcasing your work and problem-solving approach is required. - Design Skills: Proven experience across all design phases, including conducting user research, developing prototypes, crafting visual designs, and conducting usability testing. - Analytical Skills: A practical understanding of the impact of design on product metrics and user behavior, illustrated through case studies. - Technical Skills: Proficient in Figma. Experience with collaborative and workflow management tools such as Miro and Jira. - Development Understanding: Basic understanding of web development technology such as JavaScript, HTML, CSS, and the technical constraints of web and mobile development. - Independent: Confident in managing your workload and projects autonomously in a remote setting. - Proactive: Take initiative to identify opportunities, solve problems, and deliver results without waiting for direction. - Organized: Skilled at prioritizing tasks, meeting deadlines, and maintaining focus in a self-driven environment. - Working Environment: Experienced in a dynamic, product- and customer-oriented environment working on multiple projects. Ideally experience in startups or tech companies. - Languages: Full professional fluency in English (C1+) required. German language skills are a plus but not mandatory. Benefits - Clear ownership of all product and documentation video for the data intelligence platform. - Direct impact on how customers, stakeholders, and decision makers understand and adopt the product. - Remote-first in Germany with occasional team events in Berlin. - Home office budget and great equipment. - 30 days vacation. - Direct impact on critical missions across private and public-sector customers.

Role Description Incubate and validate new ML initiatives end-to-end. On Innovation, you’ll build adoption-ready prototype vertical slices spanning data flows, model serving, evaluation, and product integration—then hand off clear artifacts so delivery teams can productize and own them long-term. - Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows). - Create evaluation harnesses and decision artifacts: datasets, baselines, quality/latency/cost metrics, and go/no-go recommendations. - Package prototypes for adoption: containerize services, define reproducible deployments, and produce runbooks/checklists. - Partner with Research and Data Engineering on dataset curation, annotation loops, experiment tracking, and safe iteration. - Make prototypes operationally credible: instrumentation, monitoring, and security/compliance basics (PII handling, provenance mindset). Qualifications - 3+ years ML engineering/MLOps experience (level dependent), with evidence of shipping real systems. - Strong Python and hands-on PyTorch/Transformers; comfortable taking models from notebook to reproducible services. - Practical Kubernetes + containers experience; able to deploy and troubleshoot in production-like clusters (including offline/air-gapped constraints). - Strong evaluation discipline and monitoring mindset; comfortable communicating tradeoffs clearly. - Eligible to work in Germany; EU/NATO citizenship preferred and export-control screening applies. Nice‑to‑haves - GPU serving/optimization experience (Triton/KServe, ONNX/TensorRT, batching, quantization). - Streaming/pipeline tooling (Kafka, Ray, Beam/Flink/Spark) and search/vector/graph integrations. - German language (B1+) and/or experience with regulated/public-sector datasets and workflows. Benefits - Modern ML stack in real constraints: Kubernetes, streaming, and hybrid/on-prem/air-gapped deployments. - Remote-first in Germany with regular Berlin workshops, 30 days vacation, equipment & learning budget. - High leverage: your prototypes and handoffs unblock multiple delivery teams.