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Data Engineer I, Burger King
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
DATA ENGINEER (F/H)
Builds robust data pipelines and transforms raw data into clean, reliable datasets in a cloud-based Lakehouse architecture using Python, Spark, and AWS services.
Senior Machine Learning Engineer, ML Infrastructure- Online
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 Data Engineer (Magna)
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 Data Engineer
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.
Data Engineer
Builds scalable data pipelines and AI-powered tools to ingest healthcare datasets into ODAIA’s AI platform, enabling faster therapy access for patients.
Knowledge Engineer Manager - Back-end Engineer
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.
Sr Software Engineer
Senior engineer building and optimizing PayPal’s payment risk control systems using Spark, Python, and Aerospike to process millions of transactions in real time.
Senior AI / Data Engineer
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.
Senior Forward Deployed Engineer, AI Studio
Build and deploy AI solutions for Amgen’s drug discovery and operations, integrating GenAI, RAG, agents, and MLOps in a regulated healthcare environment.
Senior Forward Deployed Engineer (AI/ML), AI Studio
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.
Sr Machine Learning Engineer, AI Studio
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.
Machine Learning Engineer, AI Studio
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
AI Engineer (Machine Learning & Generative AI)
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.
Data engineer - Technology consulting
Design and implement data pipelines, models, and integrations for large organizations using SQL, Python, and cloud platforms to automate and transform business processes.
IN-Senior Associate_Data Scientist_D&A_Advisory_Hyderabad
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…
Data Engineer I (5–8 Years' Experience Required)
Build and maintain GCP-based data pipelines and warehouses using SQL, Python, and ETL tools to deliver business insights for a global food company.
Senior AI / Data Engineer
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.
Business Intelligence Developer
The project is a mobile marketing and audience platform, that empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. Direct integration with over 500,000 monthly…
Data Engineer 457 with Security Clearance
Designs and builds high-throughput data pipelines to ingest logistics data into a centralized data lake using Kafka, NiFi, and Airflow for real-time and batch processing.