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Lead compiler and performance optimizations for AI training and inference on AMD GPUs, working with MLIR, LLVM, ROCm, and ONNX Runtime to improve compute efficiency and scalability.
Develop AI/ML models for autonomous spacecraft systems, including anomaly detection and predictive maintenance, using Python and frameworks like PyTorch or TensorFlow.
Build and deploy AI-powered prototypes and production systems using LLMs, computer vision, and graph-based AI, optimizing models with PyTorch and Nvidia tools.
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, while engineering robust data pipelines for scalable model training and evaluation.
Lead the development of Grab’s proprietary foundation models and generative recommendation systems, scaling distributed training and deploying AI solutions for millions of users.
Build and deploy ML models for finance datasets using deep learning, GenAI, and agentic AI; collaborate with data scientists to scale solutions on cloud platforms.
Designs and deploys AI/ML models and architectures to improve HPE’s edge-to-cloud products, using Python, TensorFlow/PyTorch, and distributed computing for scalable, reliable solutions.
Build and deploy agentic AI and LLM-based solutions, optimize models for performance and cost, and integrate them into production systems using Python, GCP, and on-prem GPU clusters.
Lead end-to-end ML engineering for large-scale AI systems, including embeddings, retrieval, ranking, and generative models, while setting technical direction and mentoring teams.
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.
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,…
Build and deploy reinforcement-learning agents that integrate LLMs and coordinate via MCP for cybersecurity threat detection and response.
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 AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Build neurosymbolic AI systems to detect and respond to advanced cyber threats for Amazon’s satellite network, integrating graph reasoning, LLMs, and reinforcement learning.
Build and deploy AI-powered web apps and APIs for smart manufacturing, integrating LLMs, robotics, and predictive models to optimize Micron’s global semiconductor production lines.
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