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Working student role supporting the development of multimodal AI models (LLMs) by preparing datasets, fine-tuning models, and managing cloud-based training pipelines.
At Amazon we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy…
Build and deploy AI/ML systems for Goldman Sachs China, from GenAI stacks to end-to-end solutions, then transfer ownership to business teams.
Lead AI/LLM feature development for Adobe.com, defining roadmaps and shipping conversational AI, RAG, and agentic systems for both public users and internal teams.
Lead the design and scaling of data pipelines and labeling workflows that power Cisco’s AI models, focusing on high-quality training data for LLMs and agents.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.
Own and ship core platform features for a freelance-marketing talent marketplace, including AI-powered tools for matching, collaboration, and internal ops using LLMs and agentic workflows.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Build and productionize AI features from proof-of-concept to full scale, writing Python code, running tests, and aligning solutions with business needs.
Build and scale low-latency LLM inference systems and data pipelines to power secure AI interactions for enterprise customers at a leading cybersecurity company.
Build and maintain web apps using React, Python/Node.js, and AWS; integrate generative AI and cloud services to support healthcare workflows.
Build and deploy AI models for edge devices: port vision/speech models to NPU-enabled SoCs, extend AI tooling for hardware-aware development, and create reference designs for smart-home and surveillance use cases.
As an Data Scientist Intern (AI Engineer Intern), you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll…
Build and maintain scalable document parsing pipelines and multimodal AI systems to extract, index, and retrieve content for GenAI applications on Azure.
Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or…
As a world-leading OEM, Mercedes-Benz seeks experts who are passionate and enthusiastic about applying AI technologies to the automotive industry. We are specifically looking for self-motivated and knowledgeable…
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to ensure numerical consistency and performance on XPENG’s Turing AI chip.
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to optimize performance on XPENG’s Turing AI chip.
Develops and optimizes model-compression tools (quantization, pruning, distillation) for LLMs and generative models to run efficiently on Intel AI hardware.
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