About Mvaak

Mvaak is an AI data services company specialising in egocentric (first-person) video data. We capture, process and deliver real-world datasets that AI labs, robotics teams and data partners use to train the next generation of multimodal and embodied AI models. We’re a lean, fast-moving team where early-career engineers get real ownership from day one.

Role Overview

We’re looking for an early-career AI Engineer who wants to learn fast and build hands-on. You’ll help develop the LLM, vision-language and automation workflows that turn raw egocentric video into model-ready datasets. You’ll work alongside senior team members and grow quickly across GenAI, computer vision and data engineering.

Key Responsibilities

- Build and improve pipelines for processing, captioning and tagging egocentric video using LLMs and VLMs
- Write scripts for automated quality checks (blur, frame drops, face/PII redaction, metadata validation)
- Help build AI agents and automations for dataset QA and packaging
- Experiment with open-source vision and language models and evaluate their output
- Support dataset preparation and delivery to client specifications
- Document your work and share learnings with the team





Required Skills and Qualifications

- Bachelor’s or Master’s in Computer Science, AI, Data Science or a related field (final-year students may apply)
- 0–2 years of experience, including internships, academic or personal projects in AI/ML
- Good Python skills
- Basic understanding of machine learning and deep learning concepts
- Hands-on experience with at least one of: PyTorch, Hugging Face, OpenCV
- Has built at least one project using LLM APIs (Claude, GPT, Gemini) or open-source models
- Curiosity, ownership and a willingness to learn quickly

Positive to Have

- Computer vision or video processing projects (OpenCV, FFmpeg)
- Exposure to LangChain, LangGraph, RAG or vector databases
- Basic FastAPI/Flask and cloud (AWS or GCP) experience
- Familiarity with annotation tools (CVAT, Label Studio)
- GitHub portfolio, Kaggle work or open-source contributions

What We Offer

- Competitive salary
- Fully remote, flexible working hours
- Mentorship and fast learning on cutting-edge multimodal AI work
- Real ownership and direct impact in an early-stage team

📌 Artificial Intelligence Engineer (India)
🏢 Mvaak
📍 India