1. Python Developer/Trainer

1.1. Job Description:

• Understanding of business objectives and develop models that help to achieve them.
• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• 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 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
• Finding available datasets online that could be used for training
• Defining validation strategies.
• Defining the pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Model training with the help of keeras and Tensor Flow.
• follow the guideline and schedule of the course given by the management team and contributes in changings
• of guideline with personal experience.
• Assign regular tasks to students.
• committed to deliver best in class training according to project.
• punctual on the time slots assigned by management after proper coordination regarding availability.
• prepare reports of student’s performance on the results of the tasks and handover it to management.

1.2. Skills and Qualification

• proficiency with deep learning frameworks such as Tensor Flow and keeras.
• Minimum two to three years working experience with ML Algorithm and machine learning.
• 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 an ML model with the required latency
• Priority would be given to those who have trained and implemented different deep learning models.