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Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and deploy GenAI systems for enterprise customers, focusing on Text-to-SQL and semantic data modeling to scale AI solutions on Google Cloud.
Builds AI/ML solutions to embed in TE’s product-design and manufacturing workflows, shortening time-to-market and cutting costs.
Design and deploy Generative AI and ML models using Python, LLMs, and RAG frameworks to build scalable AI solutions for luxury brand analytics and customer experience.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and maintain high-performance data pipelines for national security, processing large datasets to extract insights using Scala/Java, Spark, Kafka, and Hadoop.
Design and maintain scalable ETL pipelines and data platforms to process large volumes of product data globally using Python, Scala, or Java.
Design and build the core architecture for personal AI agents, focusing on runtime, memory, security, and multi-agent orchestration to turn model capabilities into reliable product experiences.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while ensuring real-world reliability in construction environments.
Build and optimize AI-driven recommender systems and agent-based workflows for TikTok’s global platform, focusing on scalable architectures and high-availability tooling.
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
Develop Python tools and AI integrations on NVIDIA Omniverse for industrial digital twins, automating inspection and simulation in manufacturing workflows.
Build and fine-tune large GenAI models on multi-node GPU clusters, optimize distributed training, and design AI agents to automate semiconductor manufacturing workflows.
Build and deploy generative AI applications using LLMs and modern AI frameworks like TensorFlow or PyTorch.
Design data pipelines and build production-grade ML models for an AI/ML and IoT platform, collaborating with engineers to scale analytics and document decisions.
Builds and optimizes the UI for a modern enterprise integration platform using JavaScript, Angular, and TypeScript, collaborating with product and design teams.
Intern role assisting with ESG data initiatives, cleaning and structuring data, and working with Python, SQL, and GenAI tools in a small, fast-moving team.
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