Company Name

Ford ( Bangalore )

Job Description

• ML/DL Skills:

  • High familiarity in the use of DL theory/practices in NLP applications
  • Comfort level to code in Huggingface, 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
  Python Project Management Skills
  • Familiarity in the use of Docker tools, pipenv/conda/poetry env
  • Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,)
  • Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,)
  Cloud Skills and Computing:
  • Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,
  • Good working knowledge on other open source packages to benchmark and derive summary
  • Experience in using GPU/CPU of cloud and on-prem infrastructures
  • Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.
  Deployment Skills:
  • Use of Dockers (experience in experimental docker features, docker-compose, etc.,)
  • Familiarity with orchestration tools such as airflow, Kubeflow
  • Experience in CI/CD, infrastructure as code tools like terraform etc.
  • Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.,
  • Ability to develop APIs with compliance, ethical, secure and safe AI tools.
  UI:
  • Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc.,
  • Deeper understanding of javascript, css, angular, html, etc., is a plus.
  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.

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