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Leads ML model productionization, automation, and deployment at Oracle, setting standards for model readiness, data quality, and team collaboration to turn prototypes into production-grade AI systems.
Embedded AI/ML engineer designing and deploying models for manufacturing workflows like visual inspection, yield improvement, and predictive analytics using Python, PyTorch, and SQL.
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.
Build and scale ML systems for ad ranking, bid optimization, and real-time recommendations using PyTorch/TensorFlow to improve CTR, CVR, and ROI in a mobile advertising platform.
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Build and scale core ML infrastructure and systems, turning research models into production-ready services while ensuring reliability and performance for user-facing AI features.
Lead AI research and strategy to shape how the platform thinks, remembers, and acts using cutting-edge ML techniques like MoE and multimodal systems.
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 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.
Build and deploy production-grade AI systems, including agentic AI, RAG, and knowledge graphs, using Python and cloud-native tools on GCP.
Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you’ll have the opportunity to work on high-impact…
Design and build scalable AI platforms for healthcare applications, focusing on LLM-based systems, RAG, and multi-agent orchestration while ensuring compliance with HIPAA and clinical workflows.
Build and deploy production-grade AI agents using LLMs, RAG, and orchestration frameworks to power Workday’s next-gen HR platform at global scale.
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
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