Intern Software Development Engineering R&D (AI/ML/NLP), Graduation Year (2024/2025)

Key things to Note, before you consider applying:

• Process and stages of Interview process: (i) Technical Screening, (ii) Coding Task: Given a three to four days of time to implement a software engineering development task (Note: It is not a paid task), (iii) Coding round that involves, demo, code walk through of the coding task, (iv) coding round (v) HR round and Offer discussion.
• This will be 6 months of Internship with data and NLP team, they will be working on core data pipeline development projects. Upon successful completion of their Internship, considering performance they will converted into full-time without Probation period. In general, we have a probation of 6 months for full-time engineers. Candidates will be provided with regular feedback that help them learn and make their Internship (6 months) period successful.
• Willing to undergo a background check, in accordance with local law/regulations.
• We will verify the validity/authenticity of your past experiences if any (previous internships and projects).

Note:

Responsibilities:

Will be working on R&D project that advances the enterprise cybersecurity using AI, ML and NLP techniques.

Minimum requirements:

• Strong exposure to ML/NLP tools and algorithms experience is mandatory. Core and tough cybersecurity, AI, NLP, ML problems to solve.
• Systems building experience is a strong Plus.
• Understanding of Design Patterns, distributed systems, and parallel processing.
• Ability to create data visualizations and apply ML/NLP techniques.
• Collaborative mindset with excellent communication skills for working in cross-functional teams.
• Must have strong programming experience in 1 or more programming languages – C, Python, Go Lang, Java, Rust. Other OO languages are also a plus.
• Strong skills in API Integration and software systems design and development.
• Research experience is Plus

Qualifications

• Bachelor’s/Master's in Computer Science, Engineering, or equivalent.
• M.Tech/M.S/B.Tech Final year requiring project-based Internship will also be considered for this role.
• Experience in full stack development is preferred.

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