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Employ machine learning/artificial intelligence (ML/AI) and neural networks to refine physics-based models for mechanical properties and material characterization. Mechanical Analysis Engineer with Machine Learning.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Strong understanding of machine learning, natural language processing, and deep learning. Stay informed about the latest advancements in AI, machine learning, and related technologies.
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The current research areas in the department include artificial intelligence, computational game theory, computer graphics, cybersecurity, data privacy, data science/management, energy-efficient systems, game design, graphical models, machine learning, multimedia, natural language processing, networking, service and cloud computing, software engineering, and health informatics.
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Strong background in computational fluid dynamics (CFD), machine learning (ML), and high-performance computing (HPC). Argonne’s Leadership Computing Facility (ALCF) and Mathematics and Computer Science Division (MCS) is looking for a Postdoctoral appointee working at the intersection of scientific machine learning SciML and large-scale simulation codes.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Research Software Engineer, Machine Learning. Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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Expertise in AI Software Engineering: Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. Job Description The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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Our client has several senior software engineering opportunities with various focuses including embedded Linux administration, machine learning, UI development, autopilot software and system architectures.
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The ideal candidate will have a strong background in embedded software engineering (particularly Debian-based Linux distributions) or UI development within Qt and will have a background with or personal interest in small unmanned systems (i.e. drones.
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They are seeking a highly skilled Bioinformatician with extensive experience in Large Language Models (LLMs) and Natural Language Processing (NLP) to join their cutting-edge team.
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machine learning natural language processing software engineering jobs Company: Autodesk
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