AI Tech Specialist

Lincoln Motor Company; Chennai; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Lincoln Motor Company is seeking a GenAI/NLP engineer to design and deploy GenAI applications for automotive use-cases. You will work on NLP/LLM models, multimodal data, and scalable AI pipelines, delivering APIs or lightweight UIs.

Strong background in DL/NLP and experience with HuggingFace, LangChain, TensorFlow or PyTorch is preferred. The role emphasizes building modular AI products and showcasing capabilities through web dashboards, Dash/Plotly/Streamlit, with a focus on performance and

Formación

• Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science.
• Experience in NLP/LLM development and deployment.
• Familiarity with modern AI/GenAI tooling and pipelines.

Responsabilidades

• Design NLP/LLM/GenAI applications and products with robust coding practices.
• Explore SOTA models/techniques for automotive use-cases.
• Conduct ML experiments for training/inference within memory and latency limits.
• Deploy REST APIs or UI for NLP apps using Docker/Kubernetes.
• Showcase NLP/LLM/GenAI apps through dashboards and web frameworks.
• Converge multi-bot workflows into super apps using LLMs with multimodal data.
• Build modular AI/ML products for scalable consumption.

Conocimientos

LLM model development

GenAI pipelines

Multimodal data handling

Chatbot deployment at scale

Image generation tools

Large-scale data processing

NLP/DL foundations

HuggingFace/LangGraph/LangChain

TensorFlow/PyTorch

NumPy/Pandas

Educación

Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science

Herramientas

HuggingFace

LangChain

LangGraph

TensorFlow

PyTorch

Scikit-learn

NumPy

Pandas

SpaCy

TorchText

farm-haystack

Descripción del empleo

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.