Data Scientist

Job Title: Data Scientist

Location:

Type:

Experience Level:

Industry:

Data Scientist

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.
• 1–2 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.
• 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