Essential Duties & Responsibilities & Skills Required:

-Collecting data through means such as analyzing business results or by setting up and managing new studies

-Transferring data into a new format to make it more appropriate for analysis

-Creating new, experimental frameworks to collect data

-Building tools to automate data collection

– Searching through large data sets for usable information

-Creating reports and presentations for business uses

-Correlating similar data to find actionable results

-Solving difficult problems using ML-based algorithms.

-Research, design and frame Machine Learning Systems

-Understand and transform the prototypes of Data Science

-Verifying data quality, and/or ensuring it via data cleaning

-Perform Machine Learning Model tests and experiments

-Develop the Machine Learning Model as per the needs

-Perform the training models and tuning their hyperparameters

-Perform statistical analysis and fine-tune the testing results

-Choose and implement the right Machine Learning Algorithm

-Understanding business objectives and developing the ML Models

-Select the right training data sets for ML Model Development

– Professional English Level

Tools needed to be used:

TensorFlow, Pytorch, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, YOLOVx, Scikitlearn, CNN, RNN, Python, SQL, GIT, Linux

Job Overview
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