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Drive labor productivity in semiconductor frontend operations by standardizing tools, automating workflows, and deploying GenAI solutions to reduce labor hours and improve efficiency.
Senior DevOps/LLMOps engineer building AI-driven automation and cognitive solutions, deploying LLMs, and maintaining cloud/data pipelines for PwC’s Data & Analytics practice.
Build data pipelines and full-stack apps to turn raw data into insights for global clients using Python, PySpark, SQL, React, and machine-learning models.
Build and maintain data pipelines, APIs, and full-stack apps to turn raw data into insights for PwC’s clients using Python, PySpark, SQL, ReactJS, and machine learning.
Research emerging tech in betting/gaming, synthesize findings, and prototype AI-driven tools to guide Flutter’s R&D strategy.
Build and maintain data pipelines, cloud infrastructure, and ML models to drive operational decisions and AI initiatives in healthcare diagnostics.
Designs and optimizes high-bandwidth memory (HBM) circuits and architectures, simulating DRAM components and trading off timing, power, and area to deliver cutting-edge memory products.
Builds next-gen autonomous-vehicle software that blends classical safety stacks with large-scale AI models, covering perception through control and system-level safety.
Job Description Job Description- Assoc. Manager, IT Operations, Finance (RTR) Who we are: We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and…
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Design, train, and deploy cutting-edge ML and computer-vision models for identity verification, using PyTorch and modern architectures like CNNs and transformers to improve document and biometric KYC systems.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Build and deploy production ML models—reinforcement learning, contextual bandits, and deep learning—to optimize Creator tools and ad systems for YouTube Creators.
Builds and optimizes AI models (NLP, ML, neural networks) in C# and Python, trains them on large datasets, and integrates cloud AI services for products like chatbots and search engines.
Build and maintain a Ruby on Rails backend for a global agritech SaaS, using PostgreSQL, Resque, and React.js to process geospatial data and deliver AI-driven farm insights.
Lead Data Scientist builds and operates ML systems that recommend Wise products to customers at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Design and train neural networks for absolute, GNSS-free positioning using vision and inertial sensors, then deploy the models on microcontroller-class hardware for autonomous drones in contested environments.
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