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Build ML models and analytics for retail/e-commerce: forecasting, personalization, and generative AI for search and support using Python, Spark, and cloud platforms.
Builds and improves search relevancy, ranking, and ML-powered enrichment systems for AWS Marketplace, impacting how millions find software using hybrid search and embeddings.
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Builds and deploys LLM-powered tools that turn investment research and portfolio strategies into scalable AI solutions for portfolio managers and analysts.
Build and run Maersk’s internal AI-first platforms that automate tech operations, governance, and standards using full-stack Python/TypeScript, agentic AI tools, and Azure/Kubernetes.
Builds and deploys ML and LLM models to improve business decisions, creates Power BI dashboards, and partners with stakeholders to scale AI solutions in an education-focused company.
Design and build AI-driven financial solutions for Morgan Stanley at Work, focusing on Generative AI enablement, LLM integrations, and data pipelines to support equity and retirement platforms.
Build and scale the EffiGov AI platform for cities, shipping full-stack features in Python FastAPI and TypeScript Next.js while deploying LLMs to production.
Build and deploy scalable Python applications and AI/LLM solutions using LangChain and AWS, integrating enterprise systems and optimizing performance in a fast-paced environment.
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Um unser Business weiter auszubauen, suchen wir engagierte Kolleg*innen – diesmal für eine Rolle, die es bei uns so noch nie gab. Rund um KI und Automatisierung haben wir schon einiges angestoßen – und suchen dich, um…
Build and deploy AI pipelines for India’s national health-insurance programme, including anonymisation, synthetic-data generation, and natural-language querying of aggregated public-health data.
Build and lead Python-based AI solutions, cloud deployments, and Agile delivery for enterprise clients, guiding cross-functional teams and translating business needs into scalable, secure ML systems.
Build and lead Python-based generative AI solutions using LLMs, cloud platforms, and ML pipelines while guiding cross-functional teams and translating business needs into scalable AI systems.
Lead the architecture and development of an AI-powered, secure CPQ platform, guiding cross-functional teams to integrate GenAI workflows while balancing security, scalability, and go-to-market timelines.
Designs and scales backend services for internationalization/localization, integrating AI/LLM capabilities and deploying on cloud platforms like Azure, AWS, or GCP.
Build and improve large-scale recommendation systems and apply LLMs to personalize content feeds for tens of millions of users, using Python, PyTorch, and distributed ML pipelines.
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