
Data Scientist
1 week ago
Machine Learning & Data Science Engineer – AI Infrastructure
Location:
JP Nagar 4th Phase, Bannerghatta Road, Bangalore (On-site)
Employment Type:
Full-time
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
We are seeking an engineer with strong expertise across
machine learning, data science, and computer science
to help us build 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
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
.
Qualifications
- Proven experience in evaluating
large models (LLMs, VLMs, generative models)
. - 4+ years of hands-on
ML & data science
experience (statistical analysis, risk modeling, experimental design). - Strong
computer science fundamentals
(algorithms, distributed systems, APIs). - Experience with
ranking/search systems
(Elasticsearch, Vespa, vector-based). - 4+ years of
Python & ML frameworks
(PyTorch, Scikit-Learn). - Familiarity with
AWS, Docker
. - Bonus:
fine-tuning/training large models
. - Add:
Candidates with data science + computer vision, data science + audio analysis, or data science-driven LLM/VLM/image & video generation
experience are preferred. - Add:
Discard candidates whose CV experience is only YOLO/object detection or similar
.
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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