About Internship:

• 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.

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Key Qualifications:

• 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

• DevOps fundamentals.

• 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.

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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

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‍Skills

• Python

• Machine Learning

• Deep Learning

• SQL

• GitHub

• AWS/GCP

Gains

• Hexathon (6D Problem Solving) Training & Certificate from SOIL

• Professional Networking with SOIL Leadership & Partner ecosystem

• Mentorship from Industry Experts

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Duration

• 2 months, Part Time (30 Hours/Week)

Stipend

• NA / Voluntary

On Completion

On Successful completion of the internship the intern will gain the following.

• Experience Letter.

• Certificate.