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Sr. Machine Learning Engineer

Location: Sunnyvale
Posted on: January 18, 2020

Job Description:

Job Decsription: You are an expert on using data to build and train models. The models are then used to automate processes and forecasting the customer behavior. You will lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production. You are passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect 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 validation strategies Defining the pre-processing or feature engineering to be done on a given data set Training models and tuning their hyper parameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Skills Required Proficiency with Python and libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big data sets General understanding of operating system, e.g. Windows and Linux Outstanding analytical and problem-solving skills Excellent communication skills to connect and engage with business SMEs with quick understanding on business problem Ability to translate business problem into technical solution Ability to write robust code in Python, Spark and R Understanding of state-of-the-art Machine Learning techniques and have experience converting ML models to production grade, high volume scalable run time models Experience in some machine learning frameworks Scikit, MLPack, TF, SparkMLib Experience with Docker, Containerization, AWS. Experience in RDBMS such as Postgres or SQL Server Ability to work with offshore team of engineers and making sure expectations are met and delivered to customer on time and right quality Add-on skills: Deep knowledge of math, probability, statistics and algorithms Understanding of data structures, data modelling Familiarity with machine learning frameworks (like Keras or PyTorch) BS or MS in Computer Science - provided by Dice

Keywords: TESTINGXPERTS, INC. DBA DAMCOSOFT, Sunnyvale , Sr. Machine Learning Engineer, Engineering , Sunnyvale, California

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