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