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The Role As a Senior/Staff Data Scientist (Optimisation), you will design, implement and run the optimisation engines that power modern dynamic electricity grids. Your solutions will allow electricity utilities to…
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and maintain cloud-native data pipelines on Databricks and Azure/AWS to feed analytics and ML models for a large European omnichannel retailer.
Here is an opportunity to own and influence your domain!! Are you looking to work in a high-performing team with minimal bureaucracy where you are making a difference What we're looking for 3+ years in DevOps, SRE…
Lead AI and data science for a grocery retailer’s supply chain, building forecasting, inventory optimization, and agentic AI systems to reduce waste and out-of-stocks.
Lead AI-driven supply chain and store execution systems, building forecasting, inventory optimization, and agentic AI models to minimize waste and out-of-stocks in a large retail ecosystem.
Lead AI and data-science strategy for a grocery retailer’s supply-chain and store-execution platforms, building forecasting, optimization, and agentic-AI systems to cut waste and out-of-stocks.
Leads AI/ML architecture and team for Albertsons’ supply chain and store execution, designing forecasting, replenishment, and agentic AI systems to optimize retail operations at scale.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Builds and maintains scalable data pipelines for security analytics using tools like Splunk and Cribl, processing large datasets in AWS/Azure to support Marriott’s cybersecurity operations.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge…
The Role We're hiring a Solutions Engineer to be the technical face of Trustible for our customers. You'll lead data migrations, configure the platform for each customer's environment, and build…
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of…
Designs and builds end-to-end AI solutions for Hermès, selecting LLMs, vector stores, and APIs, and shepherding projects from feasibility to production while ensuring MLOps-ready architectures.
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
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