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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience working with machine learning frameworks such as TensorFlow, Py Torch, Spark ML, scikit-learn, or related frameworks and ability to implement and optimize complex models in these environments.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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5+ years of experience developing scalable ETL and ELT workflows using Apache Spark, Apache Airflow, or Apache Flink. Ever-expanding technology like IoT, machine learning, and artificial intelligence means more structured and unstructured data is available today than ever before.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Lead a team of geographically dispersed professionals who will have responsibilities for prototyping and deploying solutions for the enterprise; Areas of expertise will include applied mathematics & statistics, machine learning operations, data engineering, software development, modelling & simulations.
$178,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics, and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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machine learning apache spark jobs Title: solutions architect Company: Databricks in Chevy Chase, MD
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