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Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
Research and implement model quantization algorithms to optimize AI models for on-device deployment using PyTorch, ONNX, and related tools.
R&D intern on Nota’s AI team optimizing models for deployment on edge devices using PyTorch, ONNX, and frameworks like ExecuTorch/TensorRT.
Build and optimize scalable backend services using Node.js, Go, and microservices with Kafka, Elasticsearch, and gRPC for NewMind AI’s AI-driven corporate governance platforms.
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Build and deploy ML models and data pipelines to optimize ad-tech performance, collaborating with engineers and product teams using Python, SQL, and frameworks like TensorFlow.
Build AI networking frameworks and benchmarks for NVIDIA’s data-center systems, profiling large-scale AI workloads and co-designing hardware-software optimizations.
Build custom AI solutions from prototype to production modules using deep learning and modern AI techniques.
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
Optimize and compile ML models for ByteDance’s recommendation mid-platform, tuning inference/training bottlenecks and building high-performance kernel libraries in C/C++.
At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
Deploys and fine-tunes vision-language and visual foundation models for industrial clients, integrating them into manufacturing, logistics, and other operational systems.
Builds and deploys enterprise-grade GenAI full-stack solutions using React/Angular frontends, Python/Node.js backends, and cloud DevOps, integrating LLMs and document-processing pipelines for healthcare workflows.
Responsibilities The Commercial AI-CRM and Transaction team focuses on TikTok advertiser growth algorithms. Leveraging deep learning and large language model technologies, the team builds an algorithmic system for…
Lead a team to improve 3D scene reconstruction models and pipelines, deploying ML systems into production for a mobile API that virtualizes and measures real-world scenes.
Build and maintain cloud-native MLOps pipelines for AgZen’s precision agriculture AI, processing multimodal sensor data to improve crop-spraying models and recommendation engines.
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
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