Data Science

1 week ago

Singapore FlocCare Pte. Ltd. Full time

Type:
Internship (with fast-track to full-time if you crush it)
At FlocCare, we’re building a GenAI platform that makes health information accessible and personal —for a billion lives. To power that, we need structured, contextual, vectorized data. This role isfor someone who loves data, thinks in embeddings, and knows how to ship fast with modern tools.
What You’ll Do
Source, structure, and format messy data
from web, APIs, PDFs, or raw text.
Vectorize text
using transformer models (e.g. BERT, Sentence Transformers).
Work with
embedding stores
and retrieval tools like Pinecone or FAISS.
Test, evaluate, and fine-tune
existing models (LLMs, classifiers, RAG pipelines).
Set up quick workflows using
no-code/low-code AI builders
like
Flowise, Appify,LangChaintemplates,
etc.
Write clean, reusable scripts for data cleaning, chunking, tagging, and ingestion.
Create solid
documentation
of workflows, datasets, and model outputs.
Are a
CS, Data Science, or AI/ML
student or recent grad with real projects under yourbelt.
Have experience with
Python, Pandas, NumPy, Hugging Face, and scikit-learn .
Understand
NLP basics , embeddings, and data pipelines.
Are
comfortable figuring things out on your own
and pushing to production fast.
Are
curious about new tools
(Appify, Flowise, LangChain, RAG frameworks) and learn fast.
Have ranked or won in
hackathons, ML challenges, Kaggle, or buildathons .
Have worked with
retrieval-augmented generation (RAG)
or LLMOps stacks.
Know how to deploy a quick demo or MVP without overengineering.
Can build scrappy first versions fast — and iterate from user feedback.
Work on
high-impact GenAI systems
in real healthcare environments.
Collaborate across borders: SG, UAE, US, and India.
Build portfolio-worthy projects that go
beyond notebooks .
Internship → full-time fast-track
based on execution and ownership.
Send us your resume, GitHub/portfolio, and a short note on what you’ve built or shipped recently
#J-18808-Ljbffr

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