Data Science Engineer

7 days ago

Bengaluru, India Employvision Inc. Full time

Machine Learning & Data Science Engineer – AI Infrastructure

Location: Bangalore

Employment Type:
Full-time

About Us

We are an early-stage startup at the intersection of
AI and media
. Our mission is to
be at the service of good stories
by building the next generation of tools that help creators transform stories into production-ready video and connect with their fans.

This is a unique opportunity to join a fast-moving team working on cutting-edge
AI, multimodal models, and creative technology
.

The Role

We are seeking an engineer with a strong balance of
machine learning, data science, and computer science expertise
to help us build our core AI infrastructure.

This role combines
model evaluation, data analysis, and scalable system design
, with a focus on
orchestration, ranking, and data-driven optimization across multimodal workflows.

Responsibilities

  • Design and implement
    end-to-end ML pipelines
    to gather data, extract insights, and serve results based on model annotations and embeddings.
  • Build
    data analysis layers
    on top of logs to harvest reusable assets, track performance, and generate recommendation/risk signals.
  • Develop
    scoring, ranking, and risk estimation frameworks
    for multimodal outputs.
  • Integrate and benchmark
    VLMs, LLMs, and generation models (image, audio, video)
    in a model-agnostic system.
  • Implement
    APIs and services
    for downstream teams to enable asset reuse and human-in-the-loop workflows.
  • Optimize for
    compute efficiency, caching, and reproducibility.

Qualifications

  • Proven experience in
    evaluating large models
    (VLMs, LLMs, generative models).
  • 2+ years of hands-on experience in
    traditional ML and data science
    (statistical analysis, risk modeling, experimental design).
  • Strong
    computer science fundamentals
    (algorithms, data structures, distributed systems, APIs).
  • Experience with
    ranking/search systems
    (e.g., Elasticsearch, Vespa, or hybrid metadata/vector-based approaches).
  • 4+ years of hands-on experience with
    Python and ML frameworks
    (PyTorch, Scikit-Learn).
  • Familiarity with
    modern infrastructure
    (AWS, Docker).
  • Bonus: experience
    training or fine-tuning large models.

What We're Looking For

While we value diverse ML expertise, for this role we are
particularly interested in candidates with strong backgrounds in:

  • Data Science
  • Audio Analysis
  • Computer Vision

(We are
less focused on NLP-heavy backgrounds
for this role.)

Why Join Us?

  • Be part of a
    fast-growing startup
    at the frontier of AI and media.
  • Work with cutting-edge
    multimodal AI models
    .
  • Help shape the future of
    storytelling technology
    .
  • Collaborate with a passionate, mission-driven team.

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