Senior Machine Learning Engineer
Arivihan Technologies
5 - 10 years
Bengaluru
Posted: 28/02/2026
Job Description
Want to impact the lives of 10 million students in real Bharat??
Then come with us, Arivihan is building an AI tutor that actually teaches better than a human faculty, because its ultra-personalized, infinitely scalable, and extremely affordable.
Weve already rocked the MP Board. Now were moving to different boards and competitive exams, with a clear vision to be pan-India across multiple exams.
If you always focus on making a big impact with your coding more than completing hours in the office, then youre meant to do big things and exponential growth at Arivihan is waiting for you.
Title: Senior ML Engineer
Location: Bangalore, (Indore - a week in couple of months)
Working Days: MondayFriday (5 days)
Key Responsibilities :
Work closely with Product, Design, Content, and Engineering to understand student problems deeply and ship AI features end-to-end into the product.
Do hands-on research + experimentation to find the best approachmodel selection, prompting, evaluation, iteration, and rapid learning.
Build and improve AI systems for real learning workflows like numerical problem solving, image-to-text extraction, and AI-powered content/lecture generation.
Debug, optimize, and improve performance (accuracy, latency, cost), and maintain strong evaluation + testing pipelines (test sets, automated checks, regression testing) to ensure reliability at scale.
Own outcomes like a builderyou dont watch the clock, you watch the impact: driven to do bold, innovative work that students have never experienced before.
Key Requirements :
34 years of hands-on experience building and deploying AI solutions, with strong practical work in LLMs/GenAI (prompting, tool/function calling, RAG or similar approaches, and evaluation).
Strong Python + production engineering: building scalable APIs/services using FastAPI/Django/Flask, and solid experience with ML stacks like PyTorch/TensorFlow/Scikit-learn/Keras + Hugging Face and supporting pipelines/scripts.
Deep ML lifecycle + multimodal exposure: strong command over prompt evaluate iterate improve, with focus on accuracy/robustness; experience across text, image, audio, video (tools like ElevenLabs/Wav2Lip/Manim/AI4Bharat are a plus).
Builder mindset + collaboration: sharp problem-solving in ambiguous situations, strong experimentation skills, and clear communication to align technical decisions with product outcomes.
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