Senior Machine learning Engineer

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