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Designs and builds data models and algorithms to improve NXP’s semiconductor operations, using Python, C/C++, and ML techniques to analyze manufacturing and business data.
Build ML models to optimize semiconductor manufacturing quality and detect issues early using Python, PyTorch, and SQL.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build AI-powered security tools using LLMs and Python to automate cyber incident response workflows and integrate bank systems with agentic AI.
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity.
Design and implement AI/ML solutions for pharmaceutical manufacturing, integrating real-time data with cloud MLOps and ensuring regulatory compliance while mentoring teams.
A position as a postdoc (100% time) is vacant at the Arumugam Group, Research unit of Medical Gastroenterology, the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark. The…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Build and ship production-grade statistical models and interpretable ML systems for home valuations and appraisal analytics, working closely with the CTO to design new valuation methodologies.
About the role As a Machine Learning Scientist you will help define the future of multi-scale modeling. You will work closely with experts in thermodynamics, hydrometallurgy, process modeling, and autonomous…
Lead AI vision and MLOps projects for automated agriculture and industrial solutions, designing deep learning models and end-to-end data pipelines for edge and cloud deployment.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Build and productionize ML models for an AI-native data infrastructure platform, from model development to deployment and monitoring.
Build predictive world models using generative AI and deep learning to simulate how scenes evolve, training autonomous driving and robotics policies from multimodal sensor data.
Build and deploy predictive weather models and spatio-temporal ML systems to power B2B weather intelligence products and optimize adtech performance using Python, PyTorch/TensorFlow, and distributed frameworks.
Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Build and deploy deep-learning models (transformers, attention-based) from scratch to drive Adobe’s enterprise revenue, GenAI analytics, and personalized admin assistants, owning the full stack from training to production.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative and document platforms using Python, TensorFlow/PyTorch, and distributed systems.
Designs and optimizes AI model architectures for specialized hardware, mapping model requirements to efficient silicon implementations and improving performance and scalability.
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