Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Machine Learning & Data Science Engineer – AI Infrastructure

Location:

Employment Type:

About Us

We are an early-stage startup at the intersection of AI and media, building the next generation of tools that help creators transform stories into production-ready video and connect with their fans.

The Role

machine learning, data science, and computer science

Responsibilities

  • Design and implement

    end-to-end ML pipelines

    for data gathering, analysis, and insights.
  • Build

    data analysis layers

    for performance tracking and reusable asset creation.
  • Develop

    ranking, scoring, and risk estimation frameworks

    for multimodal outputs.
  • Integrate and benchmark

    LLMs, VLMs, and generative models

    (image, audio, video).
  • Build

    APIs and services

    to support asset reuse and human-in-the-loop workflows.
  • Optimize for

    compute efficiency, caching, and reproducibility

    .

we are only looking at candidates :

  1. Graduate or Post-Graduate from a reputed college/university.
  2. Strong foundation in data science (mandatory).
  3. Experience in 4–5 AI/ML projects (end-to-end, not just experimental).
  4. Hands-on expertise in Audio Analysis and Computer Vision (priority).
  5. Must have completed a functional course

screening questions:

  1. Can you walk us through the AI/ML projects you’ve worked on, highlighting your role, the problem solved, and the outcomes?
  2. Have you deployed any AI models into production?
  3. How did you measure performance and iterate the solution to provide real business/user value?


Why Join Us?

  • Work with

    cutting-edge multimodal AI models

    .
  • Help shape the

    future of storytelling technology

    .
  • Join a

    fast-growing, mission-driven startup

    .

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