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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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The ideal candidate will have extensive experience in Python and Apache Spark , along with a deep understanding of high-performance, parallel, and distributed computing to scale machine learning solutions.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and develop high availability and low latency production ready software using web, cloud and distributed technologies including Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, Microservices, and CI/CD cloud deployment.
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Proficiency in Apache Spark, the underlying engine of Azure Databricks, for data processing and manipulation. Uses Azure Databricks to explore and model data for predictive analytics or machine learning purposes.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Detailed knowledge and experience in working with state-of-the-art big data tools and frameworks (e.g. Apache Spark, Airflow, Delta Lake, or similar). Ideal candidates will have practical experience in designing and scaling big data pipelines and proficiency with tools and frameworks such as Apache Spark, Airflow, DeltaLake, or similar technologies.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Experience with Apache Airflow, Hive, Snowflake, Kafka, Python.
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machine learning apache spark engineer staff jobs Title: staff engineer Company: Mercedes Benz R D
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