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Knowledge of scalable distributed computing frameworks, such as Apache Spark or Hadoop. Proficiency in using Google Cloud Platform (GCP) tools and services for machine learning, such as Vertex AI, BigQuery, and TensorFlow.
ExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Familiarity with distributed computing frameworks, such as Apache Hadoop and Apache Spark. Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies. Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
$144,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com) The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Knowledge of Data Engineering and the respective tools and technologies (e.g., Apache Spark, Databricks, Python, SQL DB, Data Lake concepts) Support the design and development of a machine-learning framework on databricks.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Spark MLlib: Machine learning library built on Apache Spark for distributed data processing. TensorFlow: Open-source framework by Google for building and training deep learning models.
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
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Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies. Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA.
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. 5+ years experience in designing, developing and deploying production-grade machine learning solutions in NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. 8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months 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.
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Demonstrate experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm. Demonstrate ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 9 days ago
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Talent Mapping for the Rest of the Year
As you enter the next quarter of 2023, it's important to reflect on how well your talent strategy is aligning with your business goals. This is an opportune time to design or reassess your talent mapping approach, so your recruiting and hiring scheme going forward stays in line with this year's business goals.
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.