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We are looking for a Senior Machine Learning Engineer to dive into a fast-growing startup developing models that improve data processing pipeline and our client deliver new features to the market with unmatched speed and accuracy.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Emerging Technologies Group: Covers a wide range of work, including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning, and quantum computing.
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. What You'll DoProcess, cleanse, and verify the integrity of data used for downstream analytics productsApply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)Participate in strategic planning and be responsible for the team roadmap and its execution.
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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.
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Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning. Knowledge and understanding of Artificial Intelligence (AI) disciplines such as Machine Learning or Natural Language Processing.
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Azure Data Factory, Databricks, Data Lake, and Power BI. Databricks Machine Learning Certificate Preferable. Azure Data Factory, Databricks, Data Lake, and Power BI. Azure Databricks Data Engineer Professional Certificate is required.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, AlteryxExperience with visualization tools such as Tableau, Power BIExperience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sage maker, etc.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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You have working knowledge of analytic technologies (e.g. Alteryx, SAS, SQL, R, Python, Power BI, Tableau, Adobe Analytics, etc.) Sophisticated proficiency with Excel, Business Intelligence/Data Visualization tools (Tableau, Power BI, etc.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
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Knowledge of data cataloging, data lineage, and metadata management is also important. Ability to intrepid, modify and write scripts and SQL queries. Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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