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Design and optimize cloud-based data pipelines, warehouses, and migrations using SQL, Python, and cloud services to enable AI/ML and analytics for government clients.
Build and maintain Power BI dashboards with DAX and Python to analyze franchise performance, optimize revenue, and support data-driven decisions across global brands.
Develops and tests vehicle routing solvers, builds test cases, analyzes performance, and collaborates with engineers to improve route optimization for logistics and mobility use cases.
Build and explain quantitative strategies for hedge funds and asset managers using Python and event-driven financial datasets, turning forecasts into tradeable signals.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
📍 Location: EU-based 💼 Cooperation type: Full-time 🧭 Work format: Remote Stape is a global product-driven IT company and the #1 leader in the server-side tracking market. We’re building a powerful, technically…
Build and deploy production-grade deep learning models using PyTorch and LLMs to solve Extreme Multilabel Classification problems for retail analytics.
Build and deploy AI/ML models for real-time IoT predictive maintenance, using time-series techniques and Gen AI to detect anomalies and forecast failures across data-center assets.
Lead a team to build AI solutions using Python, AWS Bedrock/SageMaker, and Terraform, while designing reusable libraries and distributed systems.
Build and govern data models, AI-driven pipelines, and dashboards to power marketing decisions and consumer lifecycle analytics for a fintech payments platform.
Senior full-stack engineer building scalable data platforms and AI-enabled financial reporting systems in Python, Oracle, and PySpark for a global finance hub.
Lead analyst driving online services growth by designing experiments, building analytics pipelines, and translating data into actionable insights for The Home Depot’s ecommerce team.
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Build predictive models and analytics for equipment fluids diagnostics using Python, SQL, and ML to improve service outcomes and sustainability in heavy machinery.
Build and deploy enterprise AI analytics solutions using Azure AI Foundry, Copilot Studio, and Azure OpenAI to automate insights, power AI assistants, and enhance decision-making across consumer brands.
Student Data Engineer builds and maintains data pipelines, ETL/ELT workflows, and AI model deployments to support naval platform maintenance and Agentic AI initiatives using Python, Airflow, and modern data tools.
Location, Mexico City, Mexico **This role will require regular presence (2-3 times / week) at our office in Mexico City,** We are looking for a Data Scientist who brings strong hands-on experience applying machine…
Builds AI-driven financial models and predictive analytics to guide strategic decisions, using Python, LLMs, and cloud tools like Azure ML.
Position Overview: We are building our enterprise data platform from the ground up, and we are looking for a Senior Data Platform Engineer to partner directly with our Data Architect to turn a greenfield vision into an…
Build and maintain ETL pipelines, data models, and integrations for an AI-driven infrastructure observability platform, applying agentic AI workflows to automate analysis and directly solve customer infrastructure problems.
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