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Senior Data Engineer at Apple builds and maintains data pipelines and products for the App Store using Java/Scala, SQL, Kafka, and Airflow to drive marketplace insights.
Build and maintain petabyte-scale storage infrastructure for AI training workloads, optimizing data pipelines and distributed systems for performance.
Develop high-performance quantum software, benchmarking tools, and optimizations for PennyLane & Catalyst using C++ and Python to maximize quantum hardware efficiency.
Build LLM-powered agents to automate code generation, testing, reviews, and deployment, integrating AI into Lattice’s software toolchain.
Train and evaluate AI chatbots by designing coding challenges, assessing outputs for correctness, and improving model logic using Python/JavaScript.
Lead a team building and optimizing large-scale data pipelines for fraud detection and analytics using Spark, Kafka, and Python/Java in a fintech setting.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Build cloud-native microservices in Java/Linux to secure enterprise data, using AWS/GCP/Azure and CI/CD pipelines while mentoring junior engineers.
Build data pipelines, automation tools, and metrics to accelerate AI-first self-driving development and simulation workflows.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Build and improve AI-powered software end-to-end using Ruby on Rails, SQL, and AI-driven workflows in a fully remote, international team.
Build and optimize robotics software for AI-powered homebuilding factories using ROS 2, MoveIt2, and simulation tools like Isaac Sim to plan motions, handle materials, and integrate perception systems.
Designs and maintains cloud-based data pipelines and analytics infrastructure, enabling scalable ingestion and reporting for Amazon’s IT services.
Designs and builds end-to-end data pipelines and solutions in a hybrid role at a major Canadian bank, structuring data to enable analytics and insights for business decisions.
Senior engineer building and operating enterprise security systems for AI and data platforms, including DSPM/AISPM, authentication, threat modeling, and incident response.
Senior SQL Data Engineer builds and optimizes ETL pipelines, designs data models, and writes Python/SQL for a Snowflake-based data platform, mentoring junior engineers and troubleshooting production issues.
Design and maintain scalable data pipelines using Python, SQL, Databricks, Snowflake, and cloud tools; lead a team of data engineers to deliver AI-driven marketing solutions.
Lead a team of data engineers to design and deliver scalable data platforms and pipelines for AI innovation projects, using Azure, Databricks, Spark, and Python.
Build and scale data pipelines in Snowflake using dbt, Dagster, and Python to deliver clean, reliable business insights for a fintech company.
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