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Build and maintain a high-throughput data platform for credit scoring using PySpark, ClickHouse, Airflow, and Linux infrastructure.
Data Engineer – Enterprise Data Platforms & AI-Driven Engineering We are looking for a highly skilled and passionate Data Engineer to join our high-performance engineering team. The ideal candidate should have…
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Build scalable data pipelines and infrastructure for early-stage startups in AI, cybersecurity, healthtech, fintech, and devtools, enabling trusted data products and analytics.
Builds and maintains data warehouses and ETL pipelines for corporate reporting using SQL, Python, and orchestrators like Airflow.
Creates and edits engaging video content (social media, brand campaigns, animations) using tools like Adobe Premiere Pro and After Effects, focusing on storytelling, motion graphics, and cross-platform delivery.
Design and build scalable data pipelines and platforms using Snowflake, dbt, Prefect, and AWS to power analytics and AI across Xero.
Build and scale Peregrine’s internal analytics stack, modeling data in dbt and Snowflake to power dashboards and KPIs for Sales, Marketing, Product, and Finance.
Manager, BI + Analytics Engineer Location: San Francisco, CA Department: Business Development Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments,…
Build and scale the infrastructure that powers a computer-vision engine detecting underground utilities, designing pipelines, data systems, and deployment workflows for AI models.
Builds and maintains data pipelines for building systems and IoT devices, develops AI models for anomaly detection and predictive maintenance, and supports cloud-based analytics using Python, SQL, and Docker.
Senior Data Analyst building pipelines and metrics for Gen AI and Recommendation Systems, owning data models and feature stores to power ML models and dashboards.
Build and optimize cloud-based data pipelines and warehouses to power analytics and future AI initiatives using Python, SQL, and Azure/AWS.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build and deploy AI-driven products to accelerate clinical trials and improve patient outcomes using LLMs, NLP, and MLOps on AWS.
Designs and manages AI-driven robotics automation pipelines (human-in-the-loop workflows) for data collection/annotation, optimizing AI/ML orchestration tools like Airflow or LangChain to integrate GenAI models and APIs for scalable, high-quality solutions.
Build and optimize AI-driven robotics automation pipelines, integrating GenAI models and human-in-the-loop workflows to collect and annotate egocentric data for deployment.
Build and own scalable data pipelines and warehouses for an AI-powered chronic-care platform, using SQL, Python, dbt, and cloud tools to deliver reliable data products across Europe.
Designs and maintains cloud-based data pipelines and lakes on Databricks/Azure, building scalable ETL/ELT workflows and governance for enterprise analytics and AI solutions.
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based workflows.
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