Senior Data Scientist

We are looking for a

Data Scientist

with strong experience in

Computer Vision ,

Document Parsing (LayoutLM) , and

Generative AI

to join our growing AI team. If you love solving complex document-understanding problems and building scalable ML solutions, we’d love to meet you!

What You’ll Work On

Build and optimize

Computer Vision

and

Document AI

models for PDFs, scanned docs, and complex layouts.

Work with

LayoutLM / LayoutLMv2 / LayoutLMv3 , Donut, DocFormer, and transformer-based architectures.

Develop

GenAI applications

(RAG pipelines, LLM fine-tuning, summarization, prompt engineering).

Design ML pipelines for large document datasets and integrate OCR tools (Tesseract, PaddleOCR, Textract, Google Vision).

Deploy models using MLOps best practices (Docker, MLflow, cloud ML services).

Collaborate with product & engineering teams to bring AI features to production.

What We’re Looking For

4–6 years

of experience in Data Science / Machine Learning / Deep Learning.

Hands-on Computer Vision experience (CNNs, vision transformers, multimodal models).

Strong background in

document parsing

and

document intelligence .

Experience with

GenAI / LLMs

(Hugging Face, OpenAI, LangChain, Llama).

Excellent skills in Python, PyTorch or TensorFlow, and ML libraries.

Experience working with OCR + production ML systems.

Good understanding of cloud platforms (AWS / GCP / Azure) & containerization.

Prior team management experience is a must.

✨ Nice to Have

Experience with

vector databases

(FAISS, Pinecone, Milvus).

Familiarity with Kubeflow, Airflow, or end-to-end MLOps pipelines.

Experience fine-tuning LLMs or multimodal models.

Education

Bachelor’s or Master’s in CS, Data Science, AI / ML, or related field.