01Responsibilities
Design NLP/LLM/GenAI applications/products by following robust coding practices,
Explore SoTA models/techniques so that they can be applied for automotive industry usecases
Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions,
Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools
Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,)
Converge multibots into super apps using LLMs with multimodalities
Develop agentic workflow using Autogen, Agentbuilder, langgraph
Build modular AI/ML products that could be consumed at scale.
Experience: 8+
Education: Bachelors or Masters Degree in Computer Science, Engineering, Maths or Science
Performed any modern NLP/LLM courses/open competitions is also welcomed. .
