Nexer Tech Talent

• Du kliver in i vårt Dynamics Tech-team med ansvar för den tekniska helheten inom Dynamics 365 Finance & Supply Chain Management. • Säkerställer stabil drift och vidareutveckling i befintliga lösningar. • Agerar tekniskt stöd och rådgivare till kunder och team. • Driver förbättringar inom arkitektur, integrationer och prestanda. • Är med och sätter riktning för hur vi arbetar med ny teknik exempelvis AI, Copilot och Power Platform.

• Leda implementering och optimering av varumärkes- och marknadsstrategi i Sverige, Norge och Danmark • Driva och utveckla regionala marknads- och varumärkesaktiviteter • Planera och genomföra kampanjer, kundaktiviteter och event • Arbeta datadrivet med KPI:er, analys och uppföljning • Utveckla synlighet och aktivering hos nyckelkunder och på digitala plattformar • Leda projekt och koordinera externa byråer och partners • Vara med och utveckla arbetssätt kopplat till digitalisering, performance marketing och MarTech

• Support client in shaping AI integration into SAP landscapes • Provide architectural guidance and validate concepts through hands-on POC work • Define architecture for enabling AI in SAP landscapes using MCP • Contribute to AI framework design and best practices • Design and support MCP server setup across domains • Support AI integration across SAP S/4HANA, BW/4HANA, and SaaS platforms • Work with AI agents and explore AI tools and orchestration approaches • Design and execute technical and functional POCs

• Arbeta som konsult med ansvar för tester i varierande uppdrag och miljöer. • Utveckla din kompetens och bidra till teamens framgång. • Koordinera, leda och skapa förutsättningar för kvalitet i leveransen.

• Build and scale the infrastructure required to deploy state-of-the-art models (GNNs, Transformers) for chemistry and structural biology • Manage and optimize Cloud-Native Data Warehouses (BigQuery/Snowflake) to handle petabyte-scale molecular data • Design and maintain robust data and ML pipelines using Argo or Prefect • Develop, train, and deploy cutting-edge predictive models within our specialized chemistry modeling platform • Utilize Anyscale/Ray to manage distributed training and inference workloads across massive GPU clusters • Architect and maintain LLM-based agentic systems to automate complex drug design reasoning and decision-making tasks • Work closely with the core ML Infrastructure team to ensure chemistry-specific tools align with broader company engineering standards

• Designing and developing custom web applications end-to-end • Contributing to backend and frontend development, API design, data integrations, and cloud architecture • Working closely with biologists, data scientists, and product teams in a highly collaborative environment focused on clean architecture, documentation, and maintainability • Developing full-stack features using Python (FastAPI) and React • Designing and building integrations for large-scale data workflows • Working with relational databases (PostgreSQL) and cloud infrastructure (GCP) • Contributing to early prototyping and architecture discussions • Ensuring code quality through best practices, testing, and documentation • Collaborating with cross-functional teams to clarify requirements and data/API assumptions

• Design and maintain data pipelines • Ensure data quality and reliability • Build scalable enterprise-grade solutions for precision cancer medicine • Collaborate with the team to develop better medicines using advanced data science

• Develop and maintain front‑end features using React • Build robust and scalable back‑end services in Python • Design, deploy, and integrate cloud‑native components in AWS • Collaborate with cross‑functional teams in an agile environment • Participate in architecture discussions and technical decision‑making • Ensure high code quality, test coverage, reliability, and CI/CD standards • Support continuous improvement and best engineering practices