About SOIL

SOIL Campus, a Neo-Gen After School Campus for Mid & High-Schoolers for the 21st Century.

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SOIL promotes “ Learning by Problem Solving ”and designed a revolutionary 6D aka Hexathon Educational Model in-line with theIndustry 4.0 & beyond.

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We are building a Deep-Tech powered Global Problem Solving Hub for the 21st Century Children, who are Born Digital and Highly Ambitious by Nature.

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HRD and R&D go hand-in-hand at SOIL campus.

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SOIL Campus thus cultivates "Design and Deep-Tech" Talent, Solutions and Leaders.

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‘Create as if Nothing Existed Before’ - Our Philosophy

Our Create-to-Learn, Work-to-Learn streams reflect our philosophy by re-imagining and re-creating powerful Learning Experiences for the neo-generations who are termed digital natives.

SOIL - PUPS (Pre-University Problem Solvers)- is our flagship program for aspiring Innovators, Problem Solvers, Startup Founders and Global Leaders - who plan to solve the Global Problems at Scale starting from their Mid & High School Age.

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Promoted by: IN-CUBE DIGITAL FOUNDATION

Get SOIL'ED

‍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.