SOIL intakes enthusiastic, passionate and committed individuals from Academia and Corporates who are willing to involve themselves in our labs for discovering and creating the applied AI Xperience and Knowledge across the life streams.
We consider them as Value Exchange Programs. So IN-CUBE | SOIL does NOT offer any paid internships. Hence applicant(s) are requested to consider the voluntary commitment before applying to the role(s).
Role Description - AI / ML
Design, build and configure applications to meet business process and application requirements. As an AI/ML Intern you'll be responsible for Design, Build and Test Machine Learning Algorithms to meet the Business Innovation needs.
Research and Develop Machine learning models
Programming experience in Python.
Experience with relational databases, POSTGRESQL
Experience working on cloud platform such as AWS / Azure / GCP
Hands-on working experience with container technologies (Kubernetes, Docker)
Strong debugging and troubleshooting skills
Quick documentation of the Research Outcomes
Experience with Agile development practices.
What is expected from the Interns:
6-8 hours participation every day is mandatory
Respect Product Confidentiality until Product Launch
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Hexathon (6D Problem Solving) Training & Certificate from SOIL
Professional Networking with SOIL Leadership & Partner ecosystem
Mentorship from Industry Experts
2 months, Part Time (30 Hours/Week)
NA / Voluntary
On Successful completion of the internship the intern will gain the following.