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Build and scale Snowflake-based data pipelines and warehouses that power business decisions, using Python, SQL, and orchestration tools like Airflow.
About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine…
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Build and maintain data pipelines and models in BigQuery/dbt to power analytics and dashboards for Einride’s freight and sustainability platform.
Build and optimize scalable data pipelines for a transparent, onchain trading platform, using IaC and modern data tools to enable real-time analytics and AI-driven insights.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build real-time data streaming, inference, and AI/ML systems to turn aviation data into global flight predictions, optimizing performance and efficiency for airlines and airports.
Designs and maintains ETL pipelines to process global street and roadway data for Esri’s routing and transportation analysis tools.
Build and maintain data pipelines, models, and dashboards for Wolt’s consumer delivery platform using Snowflake, SQL, dbt, Airflow, and Looker to power analytics and A/B tests.
Build and maintain MLOps infrastructure and pipelines to streamline AI model development, training, and deployment for JetBrains' developer tools and AI-powered IDE features.
Build and scale an AI-powered healthcare platform that unifies clinical intelligence and value-based care workflows using full-stack development and cloud-native infrastructure.
Build and maintain customer-facing AI dashboards and APIs, and operate a live machine-learning system that adapts without retraining, using Python, Dagster, QuestDB, and Ray on CPUs.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Build and maintain the data warehouse, semantic layer, and quality pipelines that power Stand’s AI-driven risk engine and underwriting decisions, migrating from Postgres to a scalable analytics platform with dbt, orchestration, and reconciliation.
Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build and own ETL pipelines that reconcile royalty data from streaming platforms to ensure music creators are paid fairly, using Python, dbt, PostgreSQL, and Airflow.
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Builds ETL/ELT pipelines and inference layers for privacy-safe audience segmentation using aggregated historical data in cloud data warehouses.
Build and maintain data pipelines for Finland’s top online store using Python, Dagster, and dbt to move and transform retail data into clean, analytics-ready models.
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