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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). About Our Firm: We are at the forefront of artificial intelligence research and development, akin to the most renowned AI labs in the world.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Both offices work collaboratively across all transaction reviews and BIG operationsRole Overview Conduct legal, regulatory and financial due diligence to assess reputational risk in a variety of transactions and business relationships Reputational issues analyzed by BIG include FCPA/anti-bribery compliance, environmental/social responsibility concerns, geo-political risk, financial irregularities, litigation risk, controversial products/services, human rights issues, data privacy, etc.
$115,000 - $250,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Streaming frameworks like Kafka , RabbitMQHands on experience with Cloud Platforms (AWS, GCP, or Azure)Experience in designing and implementing large-scale event-driven architecturesUnderstanding of data warehousing and data modeling techniquesExperience building and optimizing ‘big data’ data pipelines, architectures and data sets.
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Company Overview LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry’s most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today’s demanding investors.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, 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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Experience building ETL/ELT processes and thorough understanding of big data principles, techniques, and best practices. Minimum 3 years of experience creating dashboards and interactive reports, data analysis in BI tools (Tableau, Streamlit, Looker, etc.
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About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.) Designing, architecting and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process and analyze large, disparate data sets.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark. We are looking for a Lead Software Machine Learning Engineer to join the Applied Intelligence Anomaly Detection Team.
Full-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency with Linux, R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions and data processing frameworks (e.g., Spark, Hadoop); Provide knowledge, insight and guidance of third party data providers such as Transunion, Clarity/Experian and Equifax to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses.
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At least 10 years’ experience to accelerate a customer’s digital transformation which can incorporate any of the following: advanced analytics, BI tools, artificial intelligence (AI), Machine Learning, and Big Data.
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Data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experience. This role is also responsible for procuring data and performing thorough data analysis to identify patterns to aid with data science, machine learning, and artificial intelligence development.
$160,200 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
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