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- ...Production frameworks: TensorFlow, Keras, PyTorch, XGBoost. • Experience working with big data and scalable compute (e.g., Hadoop/Hive/Spark, GPU-enabled environments). • Demonstrated practical AI mindset: ability to simplify complexity, make tradeoffs, and deliver...SuggestedFull timeWorldwide
- ...Git/BitBucket, Jenkins, Maven, Artifactory and Chef ~ Good to have operational Experience in Big Data Stacks ( Hadoop ecosystem, Spark is a plus) ~ Good to have operational Experience in real-time ,streaming and data pipelines relevant frameworks ( Kafka and NiFi is...SuggestedFull timeWork experience placementWorldwide
- ...code quality, version control, and writing efficient, maintainable pipelines. Strong SQL skills and familiarity data lake systems. Spark or PySpark experience is helpful. Strong writing and communication skills; can explain analysis and recommendations clearly to varied...SuggestedFull timeWorldwide
- ...(batch and streaming) Develop and operate high-throughput, low-latency data processing systems Work within the Databricks and Spark ecosystem to support large-scale data workloads Build and maintain cloud-native data solutions on AWS Leverage dbt for transformation...SuggestedFull timeWork at officeLocal area