Eligibility for candidature

We are looking for passionate and forward-thinking candidates to join our lab as an intern for 1 year (with stipend) or short term to do research & development in the field of Artificial Intelligence/Machine Learning/Deep learning/Computer vision.

The AI Intern will be trained in different spectrum of AI/ML and will be integral part of the various application development projects/Proof of concepts (PoC) in the field of AI for the local industries.

This role will aid from the ground up from data collection and wrangling through to production of the data model.

If you are a self-starter, passionate about your craft and have a fire within to solve problems: read on.

This role is for those candidates looking to both bring their experience and learn from our team about the AI/ML tasks.

Key characteristics for this position are:

Artificial Intelligence / Machine Learning:
understanding of the core fundamentals of ML algorithms, Fundamentals of Statistics, Probability

Primary Duties & Responsibilities:
· Actively collaborate with the existing teams & subject matter experts to explore and solve key challenges in the field of AI. · Participate / design / deploy data collection plans to facilitate the ML models · Design / develop / test and deploy both novel and COTS AI / ML solutions · Participate and work intimately with the existing team to define the best input / output parameters across the different applications · Publish work on AI / ML / NLP topics Qualifications & Competencies: · Bachelor’s degree in Engineering/ Master’s degree (in Engineering & Sciences)/MCA with very basic understanding in the area of Machine learning, Deep Learning, Data science, Artificial intelligence, NLP or similar. Final MTech/MCA students can also apply. · 1+ years of programming experience with languages such as C, Python, R, and operating systems Linux, Windows and Cloud computing. · Experience with machine learning using deep learning tools (TensorFlow, Keras, PyTorch, etc.), and using core mathematical tools (Matlab, etc.) is a plus · Published work on AI / ML / NLP topics in top-tier, peer-reviewed publications a plus · Experience with GPU computing a plus · Research driven and solid passion for your projects a key factor · Ability to work collaboratively
Interested candidates can fill up the below application. The shortlisted applicants will undergo a written and interview process.


Internship application form