AI Tech Specialist

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 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: Bachelors or Masters Degree in Computer Science Engineering Maths or Science

Performed any modern NLP/LLM courses/open competitions is also welcomed.