Akridata Machine Learning Internship 2025: Apply Now for Onsite Internship in Bangalore | Stipend ₹35k–₹45k/month

Apply for Akridata’s Machine Learning Internship 2025 in Bangalore. Work on computer vision, VQA & synthetic data for real-world AI products. Stipend ₹35k–₹45k/month. Onsite with flexible schedule. Graduates & 2025/2026 students eligible. Apply now!

Apply by: Rolling Applications | Internship Period: May–July 2025

Organization Name: Akridata

Location: Bangalore

Organization details

Akridata, a leading AI product company, is inviting applications for Machine Learning Internships in Bangalore. This is a golden opportunity for recent graduates or students graduating in 2025 or 2026 to work on cutting-edge Computer Vision, Visual Question Answering (VQA), and Synthetic Data Generation technologies for real-world manufacturing inspection solutions.

Internship Overview

  • Role: Machine Learning Intern

  • Company: Akridata

  • Location: Bangalore, India (Onsite – 2 to 3 days/week flexibility)

  • Duration: May 17 to July 2025

  • Working Model: Onsite, high-ownership, product-focused (no client calls)

  • Stipend: ₹35,000 – ₹45,000 per month

Key Responsibilities

  • Collaborate with the core product team to design and build ML models.

  • Work on computer vision pipelines and real-time inspection systems.

  • Contribute to synthetic data generation frameworks.

  • Explore and implement Visual Question Answering (VQA) models.

  • Participate in internal brainstorming and model evaluation sessions.

Eligibility Criteria

  • Students graduating in 2025 or 2026, or recent graduates from a technical background.

  • Strong knowledge of Python, machine learning algorithms, and deep learning frameworks like TensorFlow or PyTorch.

  • Understanding of computer vision concepts and hands-on projects preferred.

  • Excellent analytical and problem-solving skills.

Why Join Akridata?

  • Build real-world AI products — not just proof-of-concepts

  • Learn from experienced AI engineers and product developers

  • No client-facing calls — focus entirely on technical innovation

  • Get exposure to end-to-end ML model development and deployment

  • Gain product ownership and meaningful impact in a fast-growing team

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