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Maintain and troubleshoot expeditionary AI-enabled systems for naval operations, including edge servers, sensors, and data pipelines, while integrating ML models into tactical platforms.
Build and integrate AI-driven software for naval systems using Rust, Python, and React, maintaining real-time data mesh and tactical data pipelines to support warfighters.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Builds robust data pipelines and transforms raw data into clean, reliable datasets in a cloud-based Lakehouse architecture using Python, Spark, and AWS services.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Lead the architecture and governance of a national-scale data engine powering Trend Micro's AI platform, designing pipelines, models, and knowledge systems for agentic workflows and multi-tenant systems.
Lead a team to design and build scalable cloud data pipelines and platforms using Snowflake, AWS, and Airflow to power enterprise analytics and AI workloads.
Builds scalable data pipelines and AI-powered tools to ingest healthcare datasets into ODAIA’s AI platform, enabling faster therapy access for patients.
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, including knowledge graphs, vector stores, and APIs using Python/Java, SPARQL, and cloud services.
Build and operate cloud-native data platforms and AI-powered applications for Disney’s vacation brands, designing end-to-end data pipelines and machine-learning systems.
Build and deploy AI solutions for Amgen’s drug discovery and operations, integrating GenAI, RAG, agents, and MLOps in a regulated healthcare environment.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Design and implement data pipelines, models, and integrations for large organizations using SQL, Python, and cloud platforms to automate and transform business processes.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
Build and maintain GCP-based data pipelines and warehouses using SQL, Python, and ETL tools to deliver business insights for a global food company.
Build and operate AI-powered data platforms and applications for Disney’s vacation brands, designing end-to-end data pipelines and cloud-native solutions using Python, Spark, and cloud services.
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