Mid-Level Data Scientist

Location:

Noida

Type:

Full-Time

Experience Level:

2–5 years

Industry:

Artificial Intelligence, Machine Learning, Data Science

About the Role

We are looking for a self-motivated

Mid-Level Data Scientist

to join our AI team focused on

GenAI

applications. We work at the intersection of multi-modal modeling, Retrieval-Augmented Generation (RAG), and real-time machine learning systems. You’ll collaborate with a high-impact team to design, prototype, and deploy next-generation AI solutions, especially around document understanding and multi-modal tasks.

Key Responsibilities

• Design and implement state-of-the-art GenAI solutions, involving multi-modal, document understanding models and agents.
• Build and optimize

RAG pipelines

, including knowledge of various RAG architectures.

• Develop and maintain

agentic workflows

using tools like

LangGraph, LangChain

.

• Work with large-scale datasets and ensure efficient data processing pipelines.
• Perform statistical analysis, algorithm development, and performance tuning.
• Working with opensource LLMs and deploying them on serving frameworks such as sglang and vllm.
• Stay up to date with the latest developments in GenAI and ML, and actively contribute to knowledge sharing.

Required Qualifications

• Bachelor’s degree (Master’s preferred) in Computer Science, Data Science, AI/ML, or a related field.
• Minimum 3 years of experience working in machine learning, data science, or AI roles.
• Strong command of

Python

and familiarity with

R

or other scripting languages.

• Hands-on experience with

deep learning

,

transformer-based models

, and

multi-modal learning

.

• Proficiency in AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Strong understanding of statistics, linear algebra, and probability theory.
• Experience working with

cloud environments

, preferably

Azure

.

• Exposure to

OpenAI

,

Anthropic

,

Mistral

, or similar APIs and deployment of

open-source models

(LLaMA, MPT, etc.).

• Demonstrated experience in

document AI

,

vision-language models

, or

OCR-based understanding systems

.

Preferred Skills

• Experience with

LangGraph

,

CrewAI

,

Autogen

, or similar orchestration frameworks.

• Understanding of FastAPI and Redis. Previous experience with MCP will be an added advantage.
• Working knowledge of

vector databases

(e.g., Qdrant, Weaviate, Pinecone) and

embedding search techniques

.

• Exposure to

Kubernetes

,

Docker

, or

ML model deployment workflows

.

• Curiosity-driven mindset with a passion for learning and experimenting with the latest in AI research.

Why Join Us?

• Be part of a team working on powerful AI applications
• Access to cutting-edge tools and open models
• Flexible working hours
• Supportive environment that encourages innovation, research, and upskilling