Mid-Level Data Scientist

Location:Noida

Type:Full-Time

Experience Level:25 years

Industry:Artificial Intelligence, Machine Learning, Data Science

About the Role

We are looking for a self-motivatedMid-Level Data Scientistto join our AI team focused onGenAIapplications. We work at the intersection of multi-modal modeling, Retrieval-Augmented Generation (RAG), and real-time machine learning systems. Youll 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 optimizeRAG pipelines, including knowledge of various RAG architectures.
• Develop and maintainagentic workflowsusing tools likeLangGraph, 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

• Bachelors degree (Masters 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 ofPythonand familiarity withRor other scripting languages.
• Hands-on experience withdeep learning,transformer-based models, andmulti-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 withcloud environments, preferablyAzure.
• Exposure toOpenAI,Anthropic,Mistral, or similar APIs and deployment ofopen-source models(LLaMA, MPT, etc.).
• Demonstrated experience indocument AI,vision-language models, orOCR-based understanding systems.

Preferred Skills

• Experience withLangGraph,CrewAI,Autogen, or similar orchestration frameworks.
• Understanding of FastAPI and Redis. Previous experience with MCP will be an added advantage.
• Working knowledge ofvector databases(e.g., Qdrant, Weaviate, Pinecone) andembedding search techniques.
• Exposure toKubernetes,Docker, orML 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