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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities.
$91,249.6 - $120,910.4 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks.
$95,900 - $129,400 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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 within The Friedkin Group of companies.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio.
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We are seeking a highly skilled and experienced Senior Machine Learning Engineer with a strong background in Java microservices, Apache Spark, Vector DB and expertise in deploying and operationalizing Large Language Models (LLMs) through platforms like SageMaker on containerization platforms.
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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.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with analyzing large data sets, using Hadoop, Spark - Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies. Develop tools and processes for automatically train, updating and evaluate LLM (Large Language Models)Qualifications: Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?) A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions.
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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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Possess deep expertise in distributed computing frameworks such as Apache Spark,Hadoop, or Flink, and have hands-on experience optimizing data processing at scale. Have hands-on experience with ETL orchestration tools such as Apache Airflow, Dagster,or Prefect for managing complex data workflows.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks. We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments.
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Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA, and infrastructure as code (IaC) frameworks and services, including Terraform or CloudFormation.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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