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Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS; As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models.
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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Review data analytics of operational trends (historian trend logs) to evaluate equipment health, remaining useful life and predictive failure models. CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans.
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Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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Proficiency in at least one server-side programming language (Python, Ruby, Node.js, etc.) Develop server-side code and APIs using programming languages such as Python, Ruby, or Node.js.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization. The candidate must have experience and fundamental knowledge in machine learning, experience in deploying models, and programming skills to develop and deliver novel solutions in an industry setting.
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Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage.
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Proficiency in PLC programming (e.g., Allen-Bradley, Siemens), HMI development, and industrial networking protocols. Installation and Integration: Install, configure, and integrate automation control systems, including programmable logic controllers (PLCs), Human Machine Interfaces (HMIs), robotic systems, motion controllers, timber scanning and optimization systems, and other related equipment.
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Familiarity with predictive maintenance techniques and reliability engineering principles. Programming and Optimization: Develop, modify, and optimize control system programs to enhance system performance, reliability, and efficiency.
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As a CDA Analytics Engineer you can expect to create and automate rich, complex data sets that allow Analysts and BI consumers to work faster, safer, and better. The Corporate Data & Analytics (CDA) team is responsible for transforming data into actionable, goal-driven reporting that fan the flames of innovation and adaptation for our cross-organizational stakeholders.
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8+ years of programming experience in languages such as Python, JS, Go and experience with Kubernetes with experience in machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing libraries.
$121,500 - $195,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
machine learning predictive analytics r python programming jobs Company: Inc in Indianapolis, IN
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