LR073 Machine Learning Engineer I

$88.94

Machine Learning Engineer I, Cloud Computing Technologies Agile Development Labor Rate leads the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at web-scale. Engineer large scale development systems. identifying differences in data distribution that could affect performance. Collaborate with data engineers to build data and model pipelines.

SKU: LR073 Category:

Machine Learning Engineer I, Cloud Computing Technologies Agile Development Labor Rate leads the end-to-end architecture and development of machine learning solutions for an enterprise Document Intelligence platform. Analyzing the Machine Learning algorithms that could be used to solve a given problem and rank them by their success probability. Implement machine learning algorithms into services and pipelines to be consumed at web-scale. Engineer large scale development systems using full-stack web-based, distributed shallow and deep-learning technologies and big data technologies. Implement test cases to automate testing of frontend and backend code. Be a part of a highly productive and creative engineering team, working together to achieve the common goal of the company. Exploring and visualizing data to gain an understanding of it. identifying differences in data distribution that could affect performance when deploying the model in the real world. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining the preprocessing or feature engineering to be done on a given dataset. produce project outcomes and isolate the issues that need to be resolved, in order to make programs more effective. Collaborate with data engineers to build data and model pipelines. May have experience in computer programming. Should have proficiency with a deep learning framework such as TensorFlow or Keras. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Expertise in visualizing and manipulating big datasets. Proficiency with OpenCV. Familiarity with Linux. Ability to select hardware to run a Machine Learning model with the required latency. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture. Should possess exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming. Requires a least a bachelor’s degree in computer science, computer engineering, mathematics or any other related field with 3-5 years working experience.

Brand

Cloud Computing Technologies

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