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SQL, SAS, Tableau, Power BI, R, MATLAB, Machine Learning, JAVA, Python, MySQL, advanced database and cybersecurity, CISCO, C#, C, R, C. If you have not taught in the past, we have faculty training class- for preset courses that will take 1-2 weeks with the Learning Management system, and you will be ready to teach.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Proficient programming skills such as Python, R, SQL, C/C. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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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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Basic proficiency in Python, R or similar object oriented language. Educational background and completed coursework should encompass one or more of the following: machine learning, statistical modeling, data analysis, data visualization, artificial intelligence, coding and/or data engineering.
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Experience with: R, Python, SQL, Machine Learning, Natural Language Processing and GitHub. Proactive and thorough in learning stakeholders' capabilities around data management and data processes.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
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The Center of Excellence (CoE) in Data Science and Bioinformatics at LabCorp Information Technology department applies various data science disciplines (including artificial intelligence, machine learning, graph databases, statistics, bioinformatics, and natural language processing) to our clinical, operational and financial challenges, and creates opportunities to enhance the value of our offerings to our customers.
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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 Yesterday - UpvoteDownvoteShare Job
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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