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 ❯
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 sector. Trusted by more startups around the 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 ❯
for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of … unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices More ❯
for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of … unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices More ❯
for Senior ML Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of … unlock key high-impact technical and business milestones that drive the success of Flux. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices More ❯
Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits … the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers, and define best practices More ❯
Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits … the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers, and define best practices More ❯
Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits … the OTPU design; ensure software and hardware are designed together to deliver maximum performance. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimize Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers, and define best practices More ❯
/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques More ❯
and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯
language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs 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. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting More ❯
Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯
or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs 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. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with conducting 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. - PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 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. - Experience with Deep Learning for search and recommendation systems - Experience with NLP and LLM algorithms 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 ❯
Delivery Consultant - Data & Analytics, AWS Professional Services 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 More ❯
algorithms. Knowledge of relational database systems. Preferred Qualifications: Experience designing and maintaining large-scale systems. Knowledge of code optimization and automation. Proficiency with machine learning frameworks like TensorFlow, PyTorch, MXNet, or PaddlePaddle. #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 ❯
applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products 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 ❯
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 ❯
any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products More ❯
