Job Description:

• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• 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 in terms of advanced deep learning parameters.

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Present information using data visualization techniques to the involved functional teams for better performance.

• Identify trends and insights, and optimize performance based on the insights.

• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Teach students about the different aspects of data science and deep learning starting from basics.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills through a term project.
• Follow the guideline and schedule of the course given by the management team and contributes in changings of guideline with personal experience.
• Assign tasks to students, on daily basis which should enhance their communication Skills and convincing power.
• Should be 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.

• Qualification and Skills:

• At least 3 years of work experience as a deep learning research engineer.

• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms

• Ability to write robust code in Python, Java and R
• Moderate to Excellent Analytical mind.
• Problem-solving aptitude
• Excellent communication and presentation skills

• A drive to learn and master new technologies and techniques.