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Build and deploy AI models and infrastructure to accelerate life-science research, bridging cutting-edge AI with experimental workflows at EMBL’s Heidelberg hub.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Build and maintain cloud-native data platforms in Azure, Databricks and Fabric to enable analytics, ML and GenAI across a wealth-management business.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Build and deploy AI models for defense/intelligence missions using Python and PyTorch, from research to production deployment in Linux environments.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Leads AI-driven gaming projects, managing cross-functional teams to deliver AI capabilities (e.g., models, cloud services) from concept to production, ensuring alignment with business goals and on-time execution.
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
Data Scientist at Zempler Bank builds models to improve credit access, customer experience, and fraud protection using bank data.
CDI - Data Technical Manager (H/F) Location: PARIS, Île-de-France, France Artisans contemporains depuis 1837, nous devenons également artisans du code ! Hermès Digital développe, maintient et met à disposition la…
Build production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, using Python/C++/Go/Rust and public cloud platforms.
Build and scale backend infrastructure for Databricks’ data and AI platform, including distributed systems, Kubernetes, and cloud storage integrations.
Builds and improves Databricks’ full-stack web interfaces (React, Node.js, Python/Scala) for SQL analytics, workflows, and developer tooling on a cloud-scale data platform.
Architect and deploy AI systems for semiconductor manufacturing, focusing on model selection, governance, and integration across engineering workflows and enterprise platforms.
Mission + People + Culture : With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from…
POSITIONOVERVIEW : Data Engineer (Cloud) POSITIONGENERAL DUTIES AND TASKS : Position Name: Data Engineer (Cloud) Term: 12 Months Minimum Relevant Experience: 5 Years Start Date: Immediate Key Skills: Oracle, MS SQL,…
Build and maintain the ML platform that trains, deploys, and monitors AI models predicting patient deterioration for senior-care networks.
Build and scale real-time, globally distributed data pipelines and identity graphs for an adtech platform using Python, Spark, and cloud infrastructure.
Develop AI/ML requirements and policy for defence programs, using Python and frameworks like PyTorch/TensorFlow to support autonomous systems and loitering munitions projects.
Build and maintain Parafin's ML Platform that powers underwriting and small business financing products. Partner with Data Science and Platform Engineering to create developer-friendly abstractions, SDKs, and pipelines for model training, evaluation, inference, and feature management, using Python, Spark, Databricks, and AWS.
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