systems. Experience with cloud-based solutions and agile methodologies. Nice to Have: Experience in retail and/or e-commerce. Knowledge of Big Data, DistributedComputing, and streaming technologies like Spark Structured Streaming or Apache Flink. Additional programming skills in PowerShell or Bash. Understanding of Databricks Ecosystem components. More ❯
to develop custom metrics, identify biases, and quantify data quality. Strong Python skills for Data & Machine Learning, familiarity with PyTorch and TensorFlow. Experience with distributedcomputing and big data - scaling ML pipelines for large datasets. Familiarity with cloud-based deployment (such AWS, GCP, Azure, or Modal). Experience More ❯
to presenting findings clearly and effectively. Familiarity with big data technologies like Spark is a plus, enabling you to work with larger datasets and distributedcomputing environments. On the softer side, the right candidate will demonstrate strong problem-solving and critical thinking skills to tackle complex challenges. You More ❯
with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services. Design and build innovative technologies in a large distributedcomputing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative … technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Work in an agile environment to deliver high quality software. BASIC QUALIFICATIONS Graduated less than 24 months ago or about to complete a …/Rust. Knowledge in databases. Experience with Operating systems and Kernel Internals, Rust programming. PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience such as linear programming and nonlinear optimisation. Ability to effectively articulate technical challenges and solutions. Adept More ❯
Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and More ❯
Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing PREFERRED QUALIFICATIONS - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for More ❯
Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. More ❯
in ANZ's largest and most innovative companies? Want to be part of a cross-functional team focused on increasing technology adoption of cloud computing by engaging directly with C-level executives and influencers at all levels? As part of a single-threaded team focusing on AI & ML (SageMaker … communicating the specific value proposition for their business and use case Relevant technical experience/knowledge is helpful, such as: data and analytics, core distributedcomputing concepts, fundamentals of cloud computing and virtualization, big data concepts, storage systems, content delivery networks (CDNs) - 7+ years of direct sales More ❯
high-performance data solutions. Data Modelling & Warehouse Design : Proficiency in data modelling, warehouse design, and database optimization, with examples of logical and physical models. Distributed Data Systems : Experience in deploying, managing, and tuning distributed systems for optimal reliability and performance. Coding & Development Practices : Demonstrated coding expertise with modular … Design scalable, complex data architectures that provide cross-team value. Data Modelling & Governance : Establish standards in logical and physical data modelling and data governance. DistributedComputing : Employ parallel processing, streaming, and batch workflows to manage large data volumes effectively. ETL & Workflow Automation : Build ETL processes and automated workflows More ❯
stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and … to build, train, and evaluate models. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing. Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies. Experience in patents or publications at More ❯
big data solutions while collaborating with global customers. We offer comprehensive training in top cloud technologies and the opportunity to work with industry-leading distributed processing systems. Role Impact In this role, you'll contribute to transforming how businesses leverage data through AWS's distributed processing solutions. You … languages. PREFERRED QUALIFICATIONS - Bachelor's degree in Information Science/Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field - Good understanding of distributedcomputing environments - Prior working experience with AWS - any or all of EC2, S3, EBS, EMR Amazon is an equal opportunities employer, and we More ❯
DevOps strategy for hosting and managing our data analytics platforms in AWS cloud; Strong track record of design/implementing cloud infrastructure solutions on distributedcomputing platforms in large enterprises where scale and complexity have been tackled; Proven experience participating in agile development projects for enterprise-level systems More ❯
Python or Scala. Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Deep experience with distributedcomputing with Apache Spark and knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps. Design More ❯
cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau More ❯
Shell Script; familiarity with R, Matlab, SAS Enterprise Miner. Knowledge of Elasticsearch and understanding of the Hadoop ecosystem. Experience working with large datasets and distributedcomputing tools such as Map/Reduce, Hadoop, Hive, Pig, etc. Advanced skills in Excel for analytical purposes. An MSc or PhD in … Data Science, an analytical subject (Physics, Mathematics, Computing), or other quantitative disciplines would be advantageous. The position is based in Docklands, London. This is a 3 to 6-month contract assignment. Please send your CV in Word format along with your daily rate and availability details. More ❯
Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributedcomputing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD … in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability More ❯
maintaining production ML applications Demonstrated experience deploying ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributedcomputing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS … Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning More ❯
with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributedcomputing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative … technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. A day More ❯
at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributedcomputing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on More ❯
Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯
Sagemaker, EMR, Kinesis, Lambda, and EC2. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributedcomputing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯
analytics or risk management services and software. Ph.D. degree in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. Knowledge of distributedcomputing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machine learning More ❯
to solve a range of predictive task involving text Ability to quickly acquire new technical skills Experience of working with large data sets and distributedcomputing Good understanding of mathematical foundations of Machine Learning models Able to translate business problems into problems that can be solved with Data More ❯
to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. More ❯
or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience building and developing large-scale infrastructure or distributed systems. Preferred qualifications: Experience with large scale distributed systems and scheduling infrastructure (e.g., slurm, borg, xborg, flume). Experience with build systems and … Our products handle information at massive scale and extend beyond web search. We seek engineers with fresh ideas from all areas, including information retrieval, distributedcomputing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. As a software engineer More ❯