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The Data and Machine Learning Engineer develops, maintains, and optimizes end-to-end extract, transform, and load (ETL) processes for large scale structured and unstructured data in data lake, warehouse and repositories.
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Backend Development (30%): Python, Flask REST services DB (MySQL)/cache (Redis) design and implementation AWS infrastructure design and implementation ETL large amounts of data into MySQL, SQL, SQLAlchemy Unit test development (PyTest a plus) Website scraper development a plus (can learn on the job)- using BeautifulSoup, Scrapy.
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ALTA IT Services is staffing a contract to hire opportunity for a Senior Machine Learning Data Engineer to support a Financial Services client. Senior Machine Learning Data Engineer.
$70 - $75 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Job Description:We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.
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We are looking for a Machine Learning Engineer for our Personalization team! Familiar with ETL and big data tools (e.g. AWS, AirFlow) Working knowledge of open source machine learning libraries (e.g. Scikit-learn, MLlib, TensorFlow, etc.
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Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.
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Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Job Title: Machine Learning Engineer. Our work spans across a variety of datasets and Machine Learning models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more.
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Role: Senior Machine Learning Engineer. Senior Machine Learning Engineer. - Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
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Machine Learning Engineer. Familiarity with data processing and ETL tools such as Airflow, Snowflake, Postgres, Kafka, and Redis. BSc or MSc in Computer Science, Engineering, or a related field with a focus on machine learning; - PhD is a plus.
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Machine Learning Engineer page is loaded. Mentor junior team members and contribute to the growth of the team's overall expertise in machine learning and personalization.
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We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.
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MUST HAVE: AWS (Sagemaker, Lambdas S3 Buckets) / ETL / Python / Machine Learning Ops experience. Cloud Engineer (Machine Learning Ops) This is more of an AWS Cloud Engineer with some ML Operations in the background.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will work closely with our Data Scientists and Software Engineers to design, implement, and optimize machine learning feature pipelines for model training and scoring.
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Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies. Automate end-to-end ETL/Client pipelines with structural understanding of data products. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie.
ExpandApply NowActive JobUpdated 3 months ago
etl job Title: machine learning engineer
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