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Build and optimize deep-learning models for autonomous-driving perception and planning, using PyTorch and model-efficiency techniques to speed up real-world deployment.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Build and improve AI systems that help partners adapt OpenAI models in cloud-native environments, focusing on post-training workflows, evaluation, and API integration.
Build and deploy LLM-powered AI agents and ML models using PyTorch/TensorFlow to enhance a mobile POS platform for Indian businesses.
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Position Summary Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications. As a Data Engineer , you’ll design, build, and…
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers,…
Expert-level Data Scientist builds and deploys Python-based NLP and deep learning models using transformer architectures to support mission-critical cybersecurity initiatives.
About AIRS Medical AIRS Medical is a fast-growing healthcare technology company founded in 2018 and headquartered in Seoul, South Korea, with rapidly expanding U.S. EMEA and Japan operations. Built on the belief that…
Build and maintain AI-driven forecasting models for retail clients using Python, SQL, and time-series ML; deliver weekly forecasts, accuracy reports, and root-cause analyses.
Lead the design and deployment of scalable AI/ML solutions, including LLM-based apps, RAG, and agentic AI, for Singapore’s Home Team using cloud and on-prem infrastructure.
Build and deploy deep-learning forecasting models for DeFi trading strategies using reinforcement learning and time-series data to maximize protocol yield.
Build and deploy LLM-based AI agents and RAG systems to automate merchant communication for Rakuten’s ecommerce platform, using Python, PyTorch/TensorFlow, and cloud MLOps.
Build and deploy deep learning/computer vision models for KYC processes, processing images, videos, and sensor data to improve fraud detection and identity verification.
Build and maintain automated QA flows and benchmarks for AI frameworks like PyTorch and vLLM, validating performance across hardware and integrating tests into CI/CD pipelines.
Develop and optimize AI frameworks like vLLM and PyTorch, focusing on distributed algorithms and performance tuning for deep learning models across hardware backends.
Develops and optimizes AI frameworks like SGLang, profiling distributed deep learning models to improve performance across hardware backends.
Builds data pipelines and ML models (NLP, LLMs, RAG) to process financial data, automate analytics, and enhance AI workflows using Python, cloud platforms, and MLOps practices.
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
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