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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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My name is Bill Stevens and I have a new six month plus Data Engineer Machine Learning opportunity available for a major firm located in Bethlehem, Pennsylvania that could be of interest to you, please review my specification below and I am available at any time to speak with you so please feel free to call me.
ExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$212,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with machine learning, data warehousing, data lakes, and big data infrastructure inclusive of Hadoop, AWS, and container technology such as Docker. Must be an expert in SQL, NoSQL, Python, R and have a keen understanding of data modeling, data mining, and data warehousing concepts.
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2+ years of experience with machine learning concepts and experience using Python libraries for machine learning such as NumPy, Scikit-learn, Pandas, TensorFlow or similar.
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Python Pyspark , PYTorch Machine learning modeling experience. Data Engineer having 6-10 year experience in ETL, Data Ingestion and implementation of data warehousing and Data Lake solutions.
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Creating infrastructure to help us not only scale up data ingest, but large-scale cloud-based machine learning. We want to work with teammates based in New York City area, who are excited about learning how to build and support machine learning pipelines that scale not just computationally, but in ways that are flexible, iterative, and geared for collaboration.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Secondary Skills : Machine Learning, Data Science, Cloud computing. Primary skills : Python, Spark, Distributed computing. Job Title : Data Engineer. Secondary Skills : Machine Learning, Data Science, Cloud computing.
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