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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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Machine Learning Engineer, NeRF. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.
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4+ years of experience working in data science, machine learning engineering, or data research, in a professional or academic environment. Job Number: R0188152 Machine Learning Engineer, Senior.
$96,600 - $220,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
$142,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition). Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform.
$142,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide - including Comcast, Cond 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.
$220,400 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Field Solutions Developer II for Generative AI, you will support the Google Cloud Sales organization. You will construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to large-scale corporations.
$142,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Implement machine learning models and deploy them on Databricks for predictive analytics. Proficient in Azure Databricks, Spark (Scala, PySpark), SQL, Delta Lake, and Structured Streaming.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive. Scheduler Experience: Experience with schedulers like Apache Airflow, Apache Luigi, and Chronos.
$250,000 - $350,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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AWS Secrets Manager, AWS Certificates Manager, JBoss, Apache HTTPS, AWS Security Hub, Crowdstrike, Red Hat Enterprise Linux (RHEL), Red Hat OpenShift or other Kubernetes platforms. AWS Management and Government services, Past experience in supporting highly available applications hosted in AWS, AWS Cloud Administration, Terraform, Ansible, Amazon Machine Images (AMI), EC2 scripting, Lambda functions.
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Experience building high performance and high throughput computing platforms using Apache Spark. Experience in building and/or contributing towards machine learning solutions for business problems.
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machine learning apache spark jobs Company: Diverse Lynx
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