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Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Build high-performance software for silicon testing and debug using LLMs, graph ML, and reinforcement learning to improve yield and failure analysis in AI and compute platforms.
Build and optimize distributed inference support in the AWS Neuron SDK for custom ML accelerators (Inferentia/Trainium), working across the full stack from PyTorch/JAX frameworks down to hardware-specific kernels and system-level optimizations.
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody drug discovery. The role involves collaborating with cross-functional teams to apply advanced ML techniques to large biological datasets.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody discovery within Roche's AI for Drug Discovery group. The role involves collaborating with cross-disciplinary teams to apply advanced ML techniques to large-scale biological datasets.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
Senior ML Engineer builds MLOps pipelines and interpretability tooling for Transformer-based credit risk models, ensuring scalable deployment and regulatory-compliant transparency in a fintech setting.
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Design, optimize, and debug large-scale distributed GPU training systems for multimodal foundation world models, focusing on numerical precision, fault diagnostics, and performance profiling across PyTorch, CUDA, and distributed training frameworks.
CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. We are starting with pricing and expanding into areas such as inventory, purchasing,…
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
This senior machine learning engineer role involves designing, developing, and testing machine learning and deep learning systems, with a specific focus on NLP and BERT models. The position is a one-year onsite contract based in Toronto.
The Senior Machine Learning Engineer will develop and optimize NLP models, specifically focusing on BERT and transformer-based architectures, using Python and deep learning frameworks like TensorFlow or PyTorch. This is a hybrid contract role based in Toronto requiring expertise in model fine-tuning and data preprocessing.
Senior ML engineer builds and trains NLP models (e.g., BERT) using Python and deep-learning frameworks to solve text-classification and language-understanding tasks.
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
Senior Data Scientist specializing in ML and Cloud MLOps, building predictive/deep learning models, deploying cloud-based pipelines, and mentoring teams for a Spanish multinational client.
You will be joining the team that designs, builds, and scales machine learning systems powering personalisation and customer engagement at a large scale. This is an opportunity to work on production-ready ML pipelines,…
Location: Remote / Hybrid (Kyiv) Employment: Full-time Time Zone: Partial overlap with US working hours About the Role We are looking for a Senior Machine Learning Engineer to join our client's team and build…
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