AI Tech Specialist

Ford; Chennai District; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Ford in Chennai is seeking a senior GenAI/ML engineer to design and build GenAI applications for automotive use cases, focusing on NLP, LLMs, and multimodal data.

You will deploy models via REST APIs, containerize with Docker and Kubernetes, and optimize latency within memory limits. Strong coding practices and experience with OpenAI-style models and open-source tools are required.

A Bachelor's or Master's in CS/Engineering and 8+ years of experience in NLP/LLM is expected.

Qualifications

• Experience with NLP/LLM development, training, testing and deployment.
• Proficient in open-source NLP tools and model fine-tuning workflows.
• Strong programming and data processing skills for large-scale data.

Responsibilities

• Design NLP/LLM/GenAI applications for automotive use cases.
• Explore SoTA models/techniques for real-world deployment.
• Run ML experiments within memory and latency constraints.
• Deploy REST APIs or lightweight UI using Docker and Kubernetes.
• Showcase GenAI apps via web frameworks (Dash, Plotly, Streamlit).
• Integrate multimodal data and build scalable AI products.

Skills

LLM models

Multimodal pipelines

Chatbot deployment

Image generation tools

Data handling at scale

GenAI model lifecycle

Generative AI datasets

Education

Bachelor/Master in CS/Engineering

Tools

Huggingface

LangChain

TensorFlow

PyTorch

Scikit-learn

Numpy

Pandas

SpaCy

Farm-Haystack

Job description

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