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A Glimpse into the Daily Routine of a Machine Learning Engineer. Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
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And familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake. Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Implement advanced high-performance Python code for large-scale distributed computing environments such as Apache Spark, Hadoop/HIVE to develop scalable, reusable analytical and quantitative models.
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Strong knowledge of Apache Spark and Databricks architecture. As a Databricks Administrator, you will be responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
$110,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services.
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Must have 1 year of experience in any three of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Podium, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark.
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience working with streaming and batch data processing tools like Apache Beam, Spark, Flink, etc. We are looking for a Data Engineer to join our machine learning and data science team.
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Will work closely with Machine Learning Engineer and Quantitative Researcher. Knowledge of distributed computing (e.g. Apache Spark, Dask) The Data and AI team primarily uses Python to manage data engineering, machine learning, and quantitative tasks.
$175,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with Apache Spark (SQL, MLlib, Streaming) GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx's platform for both customers and stakeholders.
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6) Experience working on/with Machine Learning / Data Science products such as Apache Spark and Tensorflow. 2) 7+ years in building enterprise solutions with Middleware, Big Data tools, and frameworks such as Spark, Hadoop, Cassandra, NoSQL, etc.
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Data lake technologies: Hadoop, Apache Beam, Spark, and Hive. Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn. Data warehouse technologies: Redshift/Snowflake/Big Query.
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Qualified candidates will have 1-2+ years of experience including a strong background in NLP and Machine Learning or Deep Learning, as well as mastery of Python and familiarity with Tensorflow, Scitkit-learn, Pandas, etc.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerRemote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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