Designing and implementing machine learning, information extraction, probabilistic matching algorithms and model.

Job Description

In this internship, we are hoping to get some good coders who can solve coding problems.
Even, you might be assigned to solve simple and easy programs. But the most important thing is that you will have to explain your code so that learners and developers from all over the world can understand your code.
This internship will help you to gain coding experience as well as your research experience.

Beginner and Intermediate Programmer, Learn a lot because we give different difficulty level assignments and projects which will help you to explore your hidden potential and become the better version of yourself.

We only offer work from home. So It is very plus point for you.
We don't check when you work. You can simply finish our project on time and take your money.

Minimum qualifications:

• Degree in Computer Science or related technical field, or equivalent practical experience.

• Examples of coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python.

Preferred qualifications:

• Experience in Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.

• Experience in Object Oriented Programming.

• A solid foundation in computer science, with competencies in data structures, algorithms, and software design.

• Coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.

• Ability to Independent work

Role and Responsibilties

Selected intern's day-to-day responsibilities include:

1. Designing and implementing machine learning, information extraction, probabilistic matching algorithms and models
2. Using your passion for programming and deep learning/AI skills using Python, TensorFlow and deep learning frameworks like Keras, PyTorch - to solve real-life problems
3. Developing AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN
4. Solving object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques
5. Using innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning.
6. Handling online code assistance, code mentoring, and education-based solutions.

Who can apply

Only those candidates can apply who:

Perks

Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.