Developer AI ML
Citigroup Inc
Pune, MH
6d ago

Description

Job Description : C11 Developer - AIML

Project Description :

  • CitiRisk Commercial is an end-to-end credit lending and risk management platform to manage underwriting and credit functions.
  • It supports classifiably managed portfolios and provides a unified operating model across Business and Risk for all markets in Citi Commercial Bank.

    The application strategies to be used across teams including RMs, Credit officers, Risk Analysts and CRMS teams

  • This project mainly caters to automation of different applications within CitiRisk and other related areas using various machine learning techniques
  • Role Description :

  • We are looking for strong data science candidate with good experience in development and implementation of model building especially in areas of unstructured text using Python.
  • Candidate should have overall experience ranging from data preparation that includes data cleaning, to data preprocessing, feature engineering, applying various algorithms and finally building models using supervised / unsupervised techniques.

    Candidate should be good enough to scale up the accuracy of models by fine tuning different parameters / hyper parameters

  • This role involves working as a part of distributed teams and demands strong writing, communication, time-management skills along with good technical skills
  • Skills : Mandatory Skills :

    Mandatory Skills :

  • Proficient in Data Science and Machine Learning, Supervised / unsupervised Learning, deep learning
  • Python and machine learning libraries eg. sklearn, pandas, numpy, nltk, spacy, genism, re (regex) etc.
  • Well versed with implementing and understanding sklearn algorithms PCA, K-means, KNN, SVM, Decision Tress, Random Forest, bagging and boosting techniques.
  • Well versed with deeplearning framework Neural networks and its architecture, different activation functions, advanced optimizers etc.
  • Good to have experience in CNN, RNN-LSTMs

  • Well versed with NLP techniques TFIDF, word2vec, glove word embeddings etc.
  • Well versed with Linux / Unix commands
  • Capable of building enterprise level code to be deployed in production
  • Desired skills :

  • Knowledge on exposing restful services using Flask, cherrypy
  • Exposure to text extraction techniques using pdfminer, Tesseract OCR, tabula and computer vision techniques eg. openCV etc
  • Entity Extraction techniques like pattern matching techniques using regex and other libraries
  • Basic understanding of non SQL database like MongoDB
  • Experience in Java, Hadoop, Bigdata, Spark is plus
  • Strong writing, communication, time-management, decision-making, and basic task organization skills
  • Qualification :

  • Bachelor’s degree in Computer Science, Information Systems Management, or related field preferred
  • Experience :
  • 4 to 8 years
  • Qualifications

    Job Description : C11 Developer - AIML

    Project Description :

  • CitiRisk Commercial is an end-to-end credit lending and risk management platform to manage underwriting and credit functions.
  • It supports classifiably managed portfolios and provides a unified operating model across Business and Risk for all markets in Citi Commercial Bank.

    The application strategies to be used across teams including RMs, Credit officers, Risk Analysts and CRMS teams

  • This project mainly caters to automation of different applications within CitiRisk and other related areas using various machine learning techniques
  • Role Description :

  • We are looking for strong data science candidate with good experience in development and implementation of model building especially in areas of unstructured text using Python.
  • Candidate should have overall experience ranging from data preparation that includes data cleaning, to data preprocessing, feature engineering, applying various algorithms and finally building models using supervised / unsupervised techniques.

    Candidate should be good enough to scale up the accuracy of models by fine tuning different parameters / hyper parameters

  • This role involves working as a part of distributed teams and demands strong writing, communication, time-management skills along with good technical skills
  • Skills : Mandatory Skills :

    Mandatory Skills :

  • Proficient in Data Science and Machine Learning, Supervised / unsupervised Learning, deep learning
  • Python and machine learning libraries eg. sklearn, pandas, numpy, nltk, spacy, genism, re (regex) etc.
  • Well versed with implementing and understanding sklearn algorithms PCA, K-means, KNN, SVM, Decision Tress, Random Forest, bagging and boosting techniques.
  • Well versed with deeplearning framework Neural networks and its architecture, different activation functions, advanced optimizers etc.
  • Good to have experience in CNN, RNN-LSTMs

  • Well versed with NLP techniques TFIDF, word2vec, glove word embeddings etc.
  • Well versed with Linux / Unix commands
  • Capable of building enterprise level code to be deployed in production
  • Desired skills :

  • Knowledge on exposing restful services using Flask, cherrypy
  • Exposure to text extraction techniques using pdfminer, Tesseract OCR, tabula and computer vision techniques eg. openCV etc
  • Entity Extraction techniques like pattern matching techniques using regex and other libraries
  • Basic understanding of non SQL database like MongoDB
  • Experience in Java, Hadoop, Bigdata, Spark is plus
  • Strong writing, communication, time-management, decision-making, and basic task organization skills
  • Qualification :

  • Bachelor’s degree in Computer Science, Information Systems Management, or related field preferred
  • Experience :
  • 4 to 8 years
  • Travel

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