Description
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,
Positive 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 secure AI tools.

UI:
Positive UI skills to visualize and build better applications usin

📌 Data Scientist Chennai
🏢 Ford Motor
📍 Chennai