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
