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The Machine Learning Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. The role requires expertise in Python, deep learning frameworks, and reward modeling to move RL solutions from research into production environments.
NVIDIA's groundbreaking invention of the GPU in 1999 not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep…
Senior Solutions Architect partnering with NVIDIA's GSI and AI consulting partners to design, build, and evangelize enterprise AI solutions using Agentic AI, LLMs, and NVIDIA's platform (NIM, Nemotron, Agent Toolkit).
Designs and optimizes high-performance AI agent systems for NVIDIA’s CUDA ecosystem, collaborating with hardware/software teams to accelerate agentic workloads like planning, tool-use, and code generation.
Senior Solutions Architect advising academia/research on AI/ML workloads, integrating NVIDIA’s accelerated computing tools into LLM projects, and mentoring researchers to maximize impact via publications and technical adoption.
NVIDIA is in search of an HPC Deployment Manager to bolster our NVIDIA Infrastructure Specialists division! Across academia and industry, NVIDIA's products are driving ground-breaking advancements in deep learning,…
Senior QA Engineer at NVIDIA to design test plans, automate testing, and develop tools for AI/GPU software validation, ensuring high-quality products across gaming, automotive, and AI markets.
We are looking for a Manager, Supply Chain Planning - Wafers, located at our Corporate Headquarters in Santa Clara, CA. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in…
Principal Solutions Architect providing end-to-end architectural blueprints, technical leadership, and AI/ML integration guidance across enterprise platforms at U.S. Bank's Chennai office.
Build and deploy ML, graph, and deep-learning models to solve complex banking problems, turning data into actionable strategies for BBVA’s global operations.
[What the role is] This is a 2-year contract position as a Lecturer / Senior Lecturer in the School of InfoComm Technology. The school is looking for passionate and dynamic individuals to join School of InfoComm…
Develops AI/ML models and data science solutions for national security, space, and civil/commercial applications, focusing on scalable, mission-critical systems.
Oversees data product development for fintech applications, ensuring data quality, security, and usability for analytics/AI. Bridges business needs with technical teams to modernize data infrastructure, document requirements, and enable natural language querying and AI integration.
The Senior Machine Learning Engineer will design, develop, and deploy machine learning and generative AI models into production environments. The role involves building scalable pipelines, fine-tuning LLMs, and collaborating with cross-functional teams to integrate AI solutions using technologies like Python, PyTorch, and Azure.
Senior Data Scientist developing AI/ML, optimization, and control algorithms for Honeywell's building automation and energy management platforms using Python, MATLAB, and Spark, deployed as microservices to cloud and edge environments.
Design and implement scalable, low-latency ML systems and services on Azure Cloud using Python, collaborating across engineering, data science, and product teams to operationalize LLMs, NLP, speech, and forecasting models.
The Senior Machine Learning Engineer will develop and deploy production-grade GenAI applications, including LLM-based solutions, RAG systems, and agentic workflows, to support various business lines at RBC. The role involves building scalable ML infrastructure and collaborating with cross-functional teams to deliver impactful AI solutions.
The Senior Data Scientist will develop predictive models and perform advanced statistical analysis on healthcare datasets to improve patient outcomes and clinical workflows. The role requires expertise in Python, SQL, and big data frameworks to build AI-powered healthcare applications.
Intern developing, training, and evaluating ML/DL models at a semiconductor company, using Python, PyTorch/TensorFlow to build AI-driven solutions.
Owns AI/algorithm (ML, DL, LLMs) solutions, from research to production deployment, guiding architecture and driving advanced techniques like RAG; core technologies include AI/ML/DL, LLMs, RAG, Generative AI, Python, C++.
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