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Demonstrated experience using big data processing tools such as Apache Spark or Trino. Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Contractor Team shall create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. , Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.
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Experience with Kafka, Spark, Apache Airflow and Kubernates (Docker and containers) Sr. Python Developer/Data Science/Machine Learning with very strong Cloud- AWS or Azure- 4. A/B testing, Spark, Kafka, and MongoDB.
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Additionally, you will develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Demonstrated experience using data engineering tools such as Apache Nifi to preprocess, modify, aggregate, load, index, and archive large data collections.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Apache Spark, including creating clusters in cloud infrastructure and utilizing Spark for machine learning tasks. Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated experience using Apache Hadoop and/or Apache Spark stack for big data processing, or comparable distributed computing platforms. We’re seeking data scientist s who have domain knowledge or an interest in Big Data , machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experienced with data ingest pipeline ETL (Extract / Transform / Load) with technologies such as Apache Kafka, AWS Kinesis, Apache Storm, Apache Spark, or Hadoop. You have studied machine learning, statistics, natural language processing, geospatial systems and can enjoy working with Machine Learning and Data Learning subject matter experts.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn. Our client is seeking a Cybersecurity Machine Learning Engineer by developing and deploying machine learning models tailored to its cyber mission and objectives.
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Experience with the following technologies: Jupyter, Spark, Apache Superset or other BI software, AWS cloud computing. Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization.
Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
ExpandApply NowActive JobUpdated 3 days ago
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