Qualifications
Required Skills :
- Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions.
- Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations.
- Familiarity with SQL database interactions.
- Familiarity with Elasticsearch document indexing and querying.
- Proficiency in Docker and creating Dockerfiles.
- Experience in REST API and JSON structures, utilizing Python packages like FastAPI.
- Skill in working with Git operations.
- Proficiency in shell scripting.
- Expertise in using PyCharm for development, debugging, and profiling.
- Knowledge of Kubernetes.
Preferred Skills
NLP toolkits such as NLTK, spaCy, Gensim, and scikit-learn; familiarity with fundamental natural language concepts including tokenization, lemmatization, stemming, edit distances, named entity recognition, and syntactic parsing.Advanced knowledge and experience with deep learning frameworks like PyTorch or TensorFlow.Complex operations within Elasticsearch, including creating indices and advanced field indexing.Comprehensive experience with Kubernetes.Skills : framework,sql database interactions,named entity recognition,profiling,rest api,regular expressions,python programming,recursion,lemmatization,json structures,decorators,pycharm,generators,deep learning frameworks (pytorch, tensorflow),tokenization,fastapi,object-oriented programming,edit distances,elasticsearch,stemming,dockerfiles,shell scripting,docker,nlp toolkits (nltk, spacy, gensim, scikit-learn),syntactic parsing,data structures,python,deep learning,ml,git operations,kubernetes,embedding representations,debugging,iterators
Skills Required
Pycharm, Tensorflow, Rest Api, Pytorch, Docker, Shell Scripting, Elasticsearch, Python Programming, Kubernetes