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 data and the consultative and leadership skills to More ❯
and machine learning Experience in 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 central to our success. We More ❯
in Java, C++, Python or 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 for our customers. If you More ❯
Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring More ❯
and machine learning Experience in 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 with large-scale distributed systems such as Hadoop, Spark, etc. #J-18808-Ljbffr More ❯
and machine learning - Experience in 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 with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯
heritage. Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition More ❯
Services, Platforms, Frameworks, and EC2 Instances. Deliver ML/DL projects end-to-end: understand needs, data aggregation, exploration, model building & validation, deployment, and impact delivery. Utilize frameworks like MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras for DL models. Use SparkML and Amazon Machine Learning for ML models. Collaborate with Big Data and DevOps teams to analyze, normalize, label data, and … projects with internal or external customers. Experience delivering end-to-end ML/DL projects, understanding business needs, data handling, model building, validation, and deployment. Skilled in DL frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, AML). 7+ years in IT platform implementation, consulting, and distributed solutions design. Experience with databases (SQL, NoSQL, Hadoop, Spark, Kafka More ❯
including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. • Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. … understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. - Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS - 7+ years of IT platform implementation in a technical and More ❯
or Statistical methods to build 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 to AI (e.g., GDPR, CCPA More ❯
