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
Dropbox
Calliere Group
Affirm
Zendesk
Capgemini Engineering
Korrogo
Korrogo
Korrogo