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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Experience with other cloud and open source database offerings is a plus: (MySQL, Aurora, Dynamo, MongoDB, MariaDB, Azure SQL Database, AWS RDS, etc.) Qualifications Education Completion of a Bachelor’s Degree program at an accredited college or university which has included a course in computer science, mathematics, business or equivalent.
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Utilize programming languages/Frameworks like Java, Spring, JavaScript,HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Splunk, Test Automation Tools, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
$165,100 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Consultant role at Canonical.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s or master’s degree in Computer Science, Information Systems, Engineering, Machine Learning, or related fields. Machine Learning Techniques: In-depth understanding of various machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
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Firm Type: Law Firm, Experience: 3 Years, Job Overview: A law firm in Philadelphia, PA is seeking a Mid-Level Software/Computer Science Patent Associate Attorney to prosecute patent applications, provide expert guidance on electrical, computer sciences, and software matters, and manage a busy patent prosecution practice.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Support analytics team to execute data strategy and review analytic scripts (Python, Databricks, SQL, ACL). 1+ year(s) of experience in Excel, ACL, Python, SAS, Alteryx, R, SQL, or other advanced analytical programs.
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For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Data Science, machine learning or predictive analytics experience. Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, Sales Operations teams.
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React, TypeScript, Kotlin, Python, Django, JavaScript, SQL, testing tools (e.g. pytest), build tools (docker, Bazel, poetry) Experience sustainably engineering Javascript applications, ideally with React and Typescript AND Java or Python.
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Proficiency in SQL, Python, and familiarity with cloud-native services on AWS, GCP, or Azure, including Redshift, BigQuery, or Synapse Analytics. Bachelor’s degree or higher in a quantitative/technical field (Computer Science, Statistics, Engineering, Mathematics, Physics, Chemistry.
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