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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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We encourage people with disabilities and from other diverse backgrounds to apply for Capital Metro vacancies. Capital Metro makes hiring decisions based solely on qualifications, merit, and organizational needs at the time.
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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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As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. Location: This role can be based remotely in the EMEA or Americas regionThe role entailsBuild strategic relationships with IHV partners at levelsGrow their awareness of open source capabilities on Canonical UbuntuDemonstrate a deep understanding of the Linux and cloud software ecosystemNegotiate contracts and commercial business termsDemonstrate a deep understanding of large and complex organizationsLead partnerships with global accounts such as IBM, Samsung, DellEMC, HPE, Nokia etc.
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Capital Factory is the center of gravity for entrepreneurs in Texas, the number one startup state in the U.S. Hundreds of thousands of entrepreneurs, programmers, and designers gather day and night, in-person and online for meetups, classes, and coworking.
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Master's degree or PhD in Psychology, Cognitive Science, Human Factors, Anthropology, Sociology, HCI, Humanities, Design, or a related field. Bachelor's degree in Psychology, Cognitive Science, Human Factors, Anthropology, Sociology, HCI, Humanities, Design, or a related field - or equivalent experience.
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Advanced degree in Computer Science, Engineering, Mathematics, or a related field with a focus on computer vision and machine learning. Strong expertise in Python, TensorFlow, PyTorch, OpenCV, and other relevant computer vision and machine learning libraries.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. 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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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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