Data Scientist

Ford Motor Company · Chennai

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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

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.

Data Engineering:

Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF)
Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs)
Experience in Elastic Search and Apache Solr is a plus, vector databases.

Ford Global Data Insights and Analytics (GDIA) is looking for professionals experienced in NLP/LLM/GenAI, who are hands-on and can employ many NLP/Prompt engineering techniques from traditional statistical/ML NLP to DL-based sequence models and transformers in their day-to-day work. You'll be working alongside leading technical experts from all around the world, on a variety of products involving Sequence/token classification, QA/chatbots, translation, semantic/search and summarization, among others.

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