models for business application Experience in Computer Vision modelling and techniques PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that More ❯
models for business application Experience in Computer Vision modelling and techniques PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that More ❯
related language. Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results More ❯
building machine learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. - Experience in implementing Computer Vision algorithms. Posted: February 26, 2025 (Updated 2 days ago) Posted: March 7, 2025 (Updated 5 days More ❯
building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯
building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯
building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯
related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or More ❯
related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or More ❯
problems, scale globally, guarantee performance, and enable breakthrough innovations. Use AWS AI/ML services (e.g., Amazon Bedrock), ML platforms (SageMaker), and frameworks (e.g., MXNet, PyTorch, SparkML, scikit-learn) to help our customers build AI/ML solutions. Work with customers and partners, guiding them through planning, prioritization, and delivery More ❯
Learning, Operations Research or in a highly quantitative field. Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machine learning and artificial intelligence. Amazon is committed to a diverse and inclusive workplace. Amazon is an More ❯
advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory frameworks related More ❯
Data Scientist, AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve More ❯
Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including More ❯
Principal Solutions Architect, Generative AI, Startups, AWS Job ID: AWS EMEA SARL (UK Branch) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts More ❯
Principal Solutions Architect, Generative AI, Startups, AWS DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public More ❯
Senior Delivery Consultant - Data & Analytics, AWS Professional Services DESCRIPTION Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive More ❯
systems such as profiling and debugging and understanding of system performance and scalability - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. - PhD More ❯
systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an equal opportunities employer. More ❯
