
Data Science Engineer
1 day ago
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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