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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