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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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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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Your Team & Role: As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Expertise in machine learning techniques, classification, clustering, and deep learning. Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-learn.
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Knowledge of machine learning algorithms. Create machine learning models. Programming skills (Python, R, SQL) Experience in SAS Viya and Python. Preferred experience in Data Modelling and Ad Sales.
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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.
$150,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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We have an opportunity for a Data Scientist Machine Learning (ML) Engineer, candidates can be remote but must reside in the United States. 6+ years of experience as a Data Scientist with Machine Learning experience.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Job Title: Data Engineer( Python + AWS.
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Role: Data Engineer - Machine Learning. Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
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As a Senior Software Engineer, you will manage petabytes of data for machine learning applications and design and implement new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.
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Experience in data science platforms like SageMaker/Machine Learning Studio/ H2O. Data Engineer Responsibilities: ETL, Advanced SQL, UNIX/LINUX/ Python and Data Cloud.
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Solid understanding of machine learning life cycle, data mining, and ETL techniques. -3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
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machine learning python jobs Title: data engineer in New York, NY
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