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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Science, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
$75,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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5+ years of experience building data science/machine learning products, particularly for natural language processing (NLP) applications. BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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Ph. D. in data science, artificial intelligence, computer science, mathematics, data engineering, or a related technical field. Master's degree in data science (DS), artificial intelligence (AI), computer science (CS), mathematics, data engineering (DE), or a related technical field.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Experience writing production code for data processing, machine learning training, and/or serving in Python, C. Hands-on experience implementing and training deep learning models Experience with state-of-the-art deep-learning techniques such as transformers, diffusion models, and multi-modal modeling, in domains such as robotics, computer vision, and NLP.
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Or, alternatively, Bachelor’s degree (or foreign education equivalent) in Engineering, Statistics, DataScience or a related field plus three (3) years of experience as a Data Analyst or a relatedoccupation performing advanced analytics using predictive modeling and machine learning.
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The Machine Learning discipline is focused on developing the tools and supporting the delivery of process improvement and engineering through RPA solutions. Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert.
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Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling. Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
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The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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They are passionate about creating cutting-edge technology that integrates advanced robotics, artificial intelligence, and machine learning to solve real-world problems. As the Lead Mechanical Engineer, you will be responsible for leading the mechanical engineering team, overseeing the design, development, and testing of robotic systems, and ensuring the successful integration of mechanical components with electrical and software systems.
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Bachelor's degree from an accredited college or university in Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Cybersecurity and five (5) years of progressive information security experience across various information security/information technology risk management domains such as but not limited to application security, infrastructure security, identity, and access management, vulnerability and cyber threat management, security architecture, etc.
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machine learning data engineering computer jobs Company: Medimorphix Ai in Boston, MA
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