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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
$60 - $65 an hourFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Skills : Java,Advanced Model Architectures,AI Scalability,AI Security and Ethics,attention mechanisms,Continuous Integration/Continuous Deployment (CI/CD),COSMOS DB,Domain Knowledge,FastApi,Gen AI,Leadership,Multimodal AI,Postgres SQL,Python,R Programming,REACT,Research Acumen.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Successful applicants are expected to have evidence of technical knowledge in one or more substantive (e.g., defense acquisition, cyber security, natural hazards, capabilities development) or methodological (e.g., data analysis, machine learning, artificial intelligence, modeling) areas as demonstrated in academic coursework, prior professional experience including internships, publications, and conference presentations, and/or other documentable academic and professional experience.
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Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Provide subject matter expertise in distributed and cloud technologies including Azure Cloud, MuleSoft Anypoint, Dynamics 365, REST API, Java, Spring Boot, Kubernetes, etc.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
Part-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. Programming skills in one or more major programming languages (Python/R/Java.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
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The Senior Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution.
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Demonstrated skills in large-scale data manipulation, machine learning, and pattern recognition. Experience with tools like SQL, Python, Pyspark, Hadoop, Hive, Shell Scripting, Informatica, Java, or APIs.
ExpandApply NowActive JobUpdated 8 days ago
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