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Must have any experience with each of the following: (1) Data Science, Artificial Intelligence, Big Data, and Machine Learning; (2) Azure Databricks, allowing for creating scalable and collaborative data analytics workflows using Apache Spark; (3) working with React JS, Angular JS, and Vue JS frameworks, including HTML and JavaScript, to develop interactive web applications; and in the following programming languages (Python, Java, C.
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BCforward is currently seeking a highly motivated Data Science/Machine Learning developer for an opportunity in Jersey City, NJ. Position Title: Data Science/Machine Learning developer.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry.
$79 - $80Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities.
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For a financial client we need Python Developer (machine learning/AI). The Senior Python Developer is responsible for designing and developing AI/Machine Learning models and enhance accuracy of models.
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Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with Python, PySpark, Machine Learning disciplines. Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark and event driven architecture using Kafka.
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Embracing and applying new technologies such as functional programming, distributed computing, machine learning, advanced data engineering, and serverless computing. Frameworks: Apache Mesos, Kafka, Spark, and Amazon Kinesis.
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Minimum years experience with machine learning Apache Spark. Experience in developing tools and data pipelines using Apache Spark and Python or similar tools.
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The AI Engineer/Developer should have a strong background in machine learning, deep learning, and software development, with a focus on delivering high-quality AI solutions that meet business objectives.
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Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required. The Solution Developer I- Automation & Innovation Management focuses on cutting-edge tech domains, solving complex business issues through AI, ML, and RPA. As part of the COE, you’ll use critical thinking for automated processes, collaborate with stakeholders, and optimize efficiency.
$91,249.6 - $120,910.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed databases like AWS DynamoDB and distributed computing frameworks such as Apache Spark, specifically PySpark. In-depth knowledge of Ab Initio/Informatica ETL programming (GDE/EME), Unix Shell Scripting and Control-M / Autosys batch schedulers.
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Develop data pipelines and workflows using modern data processing technologies such as Apache Spark, Apache Kafka, and Databricks, to support the processing of large volumes of sensor data from autonomous driving vehicles.
$193,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 23 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.
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Open-source tools, including real-time data processing products, such as Apache Beam, Kafka, and Spark Structured Streaming; time series databases, such as Influx DB; relational databases, such as Postgres; graph databases, such as Neo4j; and software development environments, such as Git and GitHub.
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machine learning apache spark jobs Title: developer
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