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Design and deploy advanced agentic AI systems for life-sciences use cases like clinical trials and drug discovery, using LLMs, NLP, and multi-agent frameworks on AWS.
Design, build, and deploy ML/AI solutions (including GenAI) using Python/R, Spark, and Docker/Kubernetes to solve complex business problems and advise clients.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Develops and implements C++ algorithms for industrial image processing and pattern recognition, optimizing ML models and integrating camera systems into software architectures for industrial clients.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The Data Analyst will support Rakuten Mobile's growth by analyzing vast user data to optimize marketing strategies and ad delivery. The role involves building dashboards, performing hypothesis testing, and collaborating with stakeholders to drive data-informed business decisions using tools like BigQuery, Python, and BI platforms.
The Embedded Software Engineer will develop and optimize high-performance video analytics software for edge devices using C++, Linux, and computer vision frameworks. The role involves integrating deep learning models into real-time video pipelines and optimizing performance for embedded hardware platforms.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
Lead the design of secure, governed AI systems for GenAI and agentic platforms, embedding Responsible AI principles into production architectures and assurance frameworks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
The Research Engineer will develop Green AI technologies, focusing on model optimization, efficient inference, and large language models to improve the sustainability of AI systems. This role involves conducting experiments, benchmarking algorithms, and collaborating with cross-functional teams to translate research into practical applications.
The Research Scientist will conduct research on energy-efficient and scalable AI technologies, focusing on the training and inference of large language models for sustainability applications. The role involves developing novel algorithms and system-level innovations using Python and frameworks like PyTorch.
Design and deploy AI, ML, optimization, and control algorithms for building automation and energy management at Honeywell Connected Enterprise, using Python, MATLAB, and Spark in cloud and edge environments.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Build and deploy AI/ML models, optimisation and control algorithms for building automation and energy management using Python, MATLAB and cloud/edge platforms.
Lead a team of hardware, firmware, and embedded systems engineers building computing and firmware platforms for Amazon's industrial robotics systems, focusing on safety-critical embedded solutions and real-time control systems.
robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to…
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