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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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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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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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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Program cognitive tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases. Ability to independently and responsibly develop and apply data analysis and machine learning technologies.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Experience with Databricks for data engineering, analytics, and machine learning. Utilize Databricks for data engineering, analytics, and machine learning tasks. Proficiency in Python programming for data manipulation, transformation, and analysis.
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For data extraction from Hadoop and data warehouse environments; performing data analysis, modeling, and reporting, using Python, R, Qlik Sense, Tableau, and Clarabridge; and creating canned and ad-hoc reports, dashboards, analytical, and visualization solutions using visualization tools.
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Job DescriptionJob DescriptionPosition Overview:We are seeking a highly-skilled AI Curriculum and Chatbot Development Specialist with expertise in Machine Learning, Data Science and Artificial Intelligence, with strong programming skills to develop innovative AI-focussed curriculum for various age-groups and skill levels (from middle school through college-age) and design chatbots to support the learning of this curriculum.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applications. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications developing in C/C.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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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.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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