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Designs, builds, and optimizes data pipelines and ML models (e.g., decision trees, random forests, deep learning) while collaborating with teams to analyze data and share insights. Applies testing, Agile/Scrum, and CI/CD practices.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
NVIDIA is hiring 2027 New College Graduates for Deep Learning and High-Performance Computing Engineering roles in Shanghai, focusing on areas like LLM inference optimization, AI compilers, parallel computing, and GPU architecture.
Solutions Architect driving adoption of NVIDIA Physical AI and AI for Science solutions (PhysicsNeMo, Omniverse, Earth-2) with researchers and institutions across Taiwan, focusing on end-to-end AI workflow design on GPU-accelerated platforms.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
Senior Data Scientist at a chemical materials company applying statistical modeling, machine learning, and AI across production, R&D, SCM, and other business domains using Python/R, SQL, and ML frameworks like sklearn and TensorFlow.
This Senior Associate Data Scientist role at PwC focuses on developing advanced machine learning and statistical models to solve complex healthcare problems. The position involves leading technical projects, mentoring team members, and deploying scalable data science solutions to drive business strategy.
This intern role involves developing and performing tests to validate the robustness and performance of NVIDIA's deep learning software stack and GPU infrastructure. The intern will work with AI-powered tools to automate testing, triage issues, and improve workflows for various AI product teams.
Develops and maintains full-stack web platforms for CUDA test analysis, integrating AI/ML features like LLM-powered diagnostics and test automation for NVIDIA’s AI and ARM-based products.
Research and develop techniques to GPU-accelerate high-performance databases, ETL, and data analytics applications at NVIDIA, working with CUDA, C/C++, and GPU architecture optimization.
OVERVIEW Hendall is currently seeking a Senior Manager of Statistical Analysis and Quality Control to serve as the senior statistical, quality control, and behavioral health data lead on a project team supporting the…
The Lead Firmware Engineer will design, develop, and debug firmware for Logitech's webcam products, collaborating with cross-functional teams to implement features on Linux or RTOS-based embedded platforms. The role focuses on optimizing performance, security, and scalability while utilizing protocols like UVC, HID, and various peripheral interfaces.
This is a 4-month co-op/internship role at BMO where the analyst will use machine learning, deep learning, and AI to mine large datasets, build predictive models, and provide data-driven insights to support business decision-making and risk management.
Intern on GE Vernova's Grid Software Solutions team, solving problems related to wholesale energy markets using digital technologies and optimization approaches.
Senior data scientist applying advanced analytics, statistical modeling, and machine learning to extract insights from large datasets, solving complex business problems for PwC clients in advisory, assurance, and consulting.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
The Senior Analyst will build complex data pipelines and develop analytical models using Python and SQL to provide actionable insights for global clients. This client-facing role involves consulting on data strategies, performing A/B testing, and mentoring junior team members.
Program Manager leading AI enablement for chip development at Analog Devices in Singapore, integrating AI tools and processes into the full chip R&D workflow to improve efficiency and adoption among engineers.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
Develop, configure, and maintain machine vision applications (measurement, defect inspection, detection) for automation systems, using OpenCV, HALCON, Cognex VisionPro, and C++/C#/Python.
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