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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring.
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The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
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We need Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Experience with machine learning and DevOps is also beneficial but not required. They are dedicated to transforming the music industry with cutting-edge technology solutions, and we're looking for a Full Stack Engineer to join this dynamic team.
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In this role you will work closely with the two founders and the principal software engineer, who each have decades of experience in financial technology and machine learning. In this role you will work closely with the two founders and the principal software engineer, who each have decades of experience in financial technology and machine learning.
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Experience working with Artificial Intelligence (AI) and Machine Learning (ML) teams is a plus. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Familiar with advanced statistical methods and machine learning for biomarker discovery. The Allen Institute for Immunology is seeking a Bioinformatics Scientist to implement and/or develop data analysis pipelines for Spatial Biology data and analyze Spatial Biology data to gain biological insights.
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You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Ascend is a fast-growing SaaS company that helps mid-market and large enterprise customers automate accounts payable processing through text extraction, machine learning and powerful integration into their financial systems – saving them millions each year.
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