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Builds AI models for spatial navigation by annotating 3D LiDAR data and synthetic environments to create digital twins of hospitals, cities, and industrial sites.
Builds and maintains automated testing frameworks for AI agents and LLM-based systems using Playwright and CI/CD, validating workflows on AWS Bedrock and vector databases.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Build and optimize batch and real-time data pipelines using PySpark, Kafka, and GCP tools like BigQuery and Dataproc for large-scale data processing.
Lead a team to design and build scalable data pipelines using Java and AWS, collaborating with cross-functional teams to deliver robust data solutions.
Build and maintain ML pipelines and automated data workflows in Python/SQL to productionize models that optimize freight-movement analytics and guide business decisions.
Design and optimize real-time and batch data pipelines using PySpark, Spark SQL, and Kafka to enable scalable analytics and data architectures.
Senior Data Scientist builds predictive models and analytics using Python, PySpark, and cloud tools to extract business insights and guide decisions.
Build and maintain automated data workflows using Apache Airflow, designing optimized pipelines while collaborating with cross-functional teams.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
Design and own scalable data pipelines and architectures to support analytics and decision-making, ensuring high data quality and performance while mentoring engineers.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Design and maintain scalable data pipelines and analytics infrastructure using Snowflake, DBT, Airflow, and Fivetran to power internal reporting and AI-driven analytics.
Design scalable dbt-based data pipelines that transform raw data into high-performance datasets for analytics and BI, ensuring data quality and performance.
Designs and builds cloud-based data warehouses and pipelines for a healthcare company, using SQL and BigQuery to support analytics and reporting across clinical and financial systems.
Designs and builds scalable data pipelines using Azure Databricks and Python, integrating AI for automated classification and processing across cloud environments.
Designs, builds, and scales data pipelines and architecture to support reliable, production-grade data systems for a product-focused company.
Build and scale software systems for a genomics AI platform, using AI in development practices and mentoring engineers.
Design and maintain large-scale data systems for a global identity-authentication platform, leveraging AI, ML, and cloud infrastructure to power analytics and business intelligence.
Senior Data Engineer designs and builds scalable data pipelines and architectures to support analytics and AI initiatives at Spin.
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