**GenAI Skills** : + Experience in LLM models like PaLM, GPT4, Mistral (open-source models), + Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. + Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. + Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. + Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. + Expertise in handling large scale structured and unstructured data. + Efficiently handled large-scale generative AI datasets and outputs. **ML/DL Skills** : + High familiarity in the use of DL theory/practices in NLP applications + Comfort level to code in ADK, A2A, AgentSkills, Ontology, Huggingface, LangGraph, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas + Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others **NLP Skills** : + Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places,



deriving insights from clustering, etc.,) + Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment **Responsibilities** : + 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** : Bachelor's or Master's Degree in Computer Science, Engineering, Maths or Science Performed any contemporary NLP/LLM courses/open competitions is also welcomed.

📌 AI Tech Specialist (Chennai)
🏢 Ford Motor
📍 Chennai