Roles and Responsibilities

Training students and help them to gain knowledge on the topics given in brochures.

Delivering highly interactive lectures that are Online/Offline with current standards of industrial training.

Preparing power point presentations for the topics that shall be covered through the course of the program.

Developing innovative and quality content for lectures to help facilitate delivery of lectures in an interesting and interactive manner.

Continuously improve the delivery experience to ensure that experience of students is at industrial level.

Desired Candidate Profile

Should have exposure to Python, data analytics, data science, Machine learning, Deep Learning, NLP, Reinforcement learning, value function, CSP, Motion Analysis and object tracking, Face/ object detection, CNN, Tensor flow, Neural Network, Article spinning, latent sentiment analysis, Advanced Excel, Supervised/Unsupervised learning, SQL, Tableau, logistic/correlation/linear regression, R, Matplotlib, Pandas, Numpy, R- Programming, Data science.

Should have at least relevant industrial experience.

Should have exposure to R&D Activities.

Should have a customer facing technical presentation skills

Candidate should have direct experience in imaging processing, pattern recognition preferably real-time processing (real time camera feed).

Candidate should be skilled in Python.

Passion for teaching and training.

Strong communication skills and ability to deliver highly interactive lectures is a must have.

Should possess maturity to handle different type of learners.

MORE SKILLS (Add-on) :-

Deep Learning, python, NLP, Reinforcement learning, value function, CSP, Motion Analysis and object tracking, Face/ object detection, CNN, Tensor flow, Neural Network, Article spinning, latent sentiment analysis, Advanced Excel, Supervised/Unsupervised learning, ML, SQL, Tableau, logistic/correlation/linear regression, R, Matplotlib, Pandas, Numpy, Advance Excel, R programming, Data science.

Perks and Benefits

15k- 40k (Negotiable as per skills/ experience)

Interested candidates can reach at +91 93190 37203 or mail your CV to [email protected]

website: www.techvidya.education