Description
ML/DL Skills:

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High familiarity in the use of DL theory/practices in NLP applications

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Comfort level to code in ADK, A2A, AgentSkills, Ontology, Huggingface, LangGraph, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas

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Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others

NLP Skills:

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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.,)

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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

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Familiarity in the use of Docker tools, pipenv/conda/poetry env

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Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,)

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Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,)

Cloud Skills and Computing:

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Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,

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Good working knowledge on other open source packages to benchmark and derive summary

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Experience in using GPU/CPU of cloud and on-prem infrastructures

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Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.

Deployment Skills:

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Use of Dockers (experience in experimental docker features, docker-compose, etc.,)

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Familiarity with orchestration tools such as airflow, Kubeflow

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Experience in CI/CD, infrastructure as code tools like terraform etc.

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Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.,

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Ability to develop APIs with compliance, ethical, secure and secure AI tools.

UI:

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Good UI skills to visualize and build better applications usin

📌 Data Scientist (Chennai)
🏢 Ford Motor
📍 Chennai