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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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Working as a leader within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex data science and engineering projects.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Required - Proficiency in programming languages such as Python, R, or Java. Desirable - Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Requirements Skill Required / Desired Experience Experience as an Analytics Developer, Data Engineer, or similar role, with a focus on developing reports, dashboards, and data models.
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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Brightwave is a deep technology startup building LLM-powered investment research systems that can autonomously reason across huge bodies of multimodal text, table and image data such as SEC filings, real-time news feeds, earnings call transcripts, legal rulings, patents, sell-side analysis and more.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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About The Manager - Risk Finance Data Science Role. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Experience working with financial data sets like Factset and Bloomberg a plus. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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big data science a plus engineer jobs Company: Hii in Secaucus, NJ
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