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We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
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The candidate should have at least a BS in computer science background and coursework at the graduate or undergraduate levels in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
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8-10 years at a technology or media company focusing on privacy/cybersecurity/information security policies and standards (including incident response management, investigation, and remediation), data governance and data standards (including data mapping and retention and deletion programs), anonymization/pseudonymization of data, analytics and/or artificial intelligence/machine learning and privacy by design.
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Fluency with Python machine learning and data science packages (Scikit-learn, Apache Spark, PySpark, DASK, Tensorflow, etc.) Strong technical expertise in data science, data analysis, statistical modelling, and/or machine learning.
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GTC uses state-of-the-art DNA and RNA sequencing with proprietary data analysis software and algorithms based on AI and machine learning. This position offers a tremendous opportunity to learn and gain experience in next-generation sequencing, bioinformatics, deep learning, software engineering, and the science of developing new clinically relevant tests.
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An innovator in the AI spaceGenAI and Computer Vision is hiring a Senior Machine Learning Engineer (or a Mid Level Machine Learning Engineer with a high-level tech degree) to join this growing startups team of 5.
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Sunpreet Singh Arora, our next pathbreaker, Lead Research Scientist at Visa Research (California), leads a team that creates cutting-edge identity and authentication capabilities using biometrics, applied cryptography, machine learning and other state-of-the-art technologies.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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Preferred candidates will demonstrate (1) a proven track record of developing and/or implementing high-throughput genomics pipelines (2) a strong proficiency in programming languages such as Python, R, or Perl (3) expertise in next-generation sequencing (NGS) data analysis (4) experience with statistical analysis, machine learning, and data visualization techniques (5) excellent communication skills and ability to collaborate effectively with interdisciplinary teams.
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2+ years in using machine learning packages such as Python, R, SAS. The data scientist will support the Consumer Credit department by leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud and credit losses.
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Knowledge of Robotic Process Automation (RPA), Machine Learning, Workflows, Backend, and APIs. Worked as Appian tech lead role for minimum 4+ years with design and implementation of Appian BPM/RPA platform, Business Process Design, Business Process Modelling, SAIL rules and UI Design.
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Architect, design and develop advanced AI models forLLM application, focusing on natural language understanding (NLU), natural language processing (NLP), and machine learning. Experience with Azure Machine Learning or AI Stack (e.g., Azure Client Studio, Azure AI Studio.
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You will collaborate closely with data scientists, data engineers, and data operations teams to ensure the reliability, scalability, and performance of machine learning systems.
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5+ years of dedicated experience as a Machine Learning Engineer or similar role. We're looking for an experienced Machine Learning Engineer that is ambitious, quick to learn, practical and outcomes driven.
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Proficiency in genomics, bioinformatics, and NGS sequencing data analysis. A leader in within the US Biotechnology space are in search of a highly motivated Principle Scientist to join our NGS Department.
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