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Familiarity with distributed computing frameworks, such as Apache Hadoop and Apache Spark. Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow.
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Knowledge of scalable distributed computing frameworks, such as Apache Spark or Hadoop. Proficiency in using Google Cloud Platform (GCP) tools and services for machine learning, such as Vertex AI, BigQuery, and TensorFlow.
ExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com) The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies. Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Knowledge of Data Engineering and the respective tools and technologies (e.g., Apache Spark, Databricks, Python, SQL DB, Data Lake concepts) Support the design and development of a machine-learning framework on databricks.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform.
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
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Spark MLlib: Machine learning library built on Apache Spark for distributed data processing. Continuous Improvement : Stay updated with the latest advancements in artificial intelligence and machine learning research, tools, and techniques, identifying opportunities for innovation and improvement within the AI ecosystem.
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. 5+ years experience in designing, developing and deploying production-grade machine learning solutions in NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. 8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
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Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies. Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA.
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Experience with big data, including Apache Spark and Hadoop. Solid understanding of Machine Learning algorithms and Natural Language Processing methods. Hands-on experience with scalable machine learning techniques applied to both structured and natural language data.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio.
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