Machine Learning Engineer

Machine Learning Engineer

Accenture
Not Specified
Not Specified

Job Description



Job Description

. Understand the objectives of the business and develop Machine Learning (ML) models that will help in achieving them, along with metrics to track their progress . Manage available resources including data, software and hardware to meet deadlines . Solve a given problem through the use of ML algorithms and rank them based on success probability . Visualize and explore data to gain an understanding of it, then identify the differences in data distribution that could affect performance of the model . Supervise data acquisition process if the initially collected data is not enough. Improve the quality of the dataset through data cleaning . Define the preprocessing or feature engineering to be conducted on a given dataset and define data augmentation pipelines . Train models and tune their hyperparameters. Analyze the errors of the model and design strategies to overcome them. Deploy ML models to production
Qualifications

. Must have BA/BS in a technology, engineering, computer science or related discipline . 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 datasets . Proficiency with OpenCV and familiarity with Linux . Ability to select hardware to run an ML model with the required latency . Advanced math skills (linear algebra, Bayesian statistics, group theory). Strong written and verbal communications Preferred: . Concepts of computer science and software engineering . Data analysis and feature engineering. Metrics involved in ML . ML algorithm selection, and cross validation, Mathematics and Statistics

About Accenture

Job Source : www.accenture.com

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