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Lead AI Engineer
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.

Senior Machine Learning Engineer
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.


Mid/Senior Data Engineer
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data, enabling AI/ML use cases and cross-team analytics.
AI Engineer (Multi-Agentic Quant Systems)
Role Overview We are seeking a Junior AI Engineer to join our multi-agent systems team. You will be responsible for designing, implementing, and maintaining AI-driven agent workflows that support our quantitative…
Data Engineer
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.
Forward Deployed AI Engineer
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.
Member of the Technical Staff - Data Engineer
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.


Machine Learning Engineer
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.
Data Engineer
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Data Engineer
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.
Senior Data Engineer – PIM
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Python Developer
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Data Analytics & Automation Engineer (GCP, Snowflake)
Builds and automates data pipelines on GCP and Snowflake using DBT, Prefect, and Airflow to deliver analytics for audit teams.
Data Engineer | Up to 55k | Hybrid role
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
Data Engineer
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Senior Data Engineer - Paris - H/F
Designs and scales data infrastructure (lakes, warehouses, pipelines) using Spark, Kafka, ClickHouse, and PostgreSQL, while leading a team of data engineers and collaborating with data scientists and DevOps.