Machine Learning Engineer
Barclays
Pune, IN
7d ago

Description

Machine Learning Engineer

Grade : BA4

  • Involvement into multiple use cases to solve business problemsusing machine learning and to meet success criteria defined by business
  • Your Role

  • Ability to convert a business problem into a data science problem
  • Strong in solving business problems using classification andregression machine learning techniques
  • Good working knowledge in Logistic Regression, Decision Tree,Random Forest, GBT, XGBOOST, Support Vector Machine, Linear Regression
  • Should have good exposure and understanding in time seriesModelling using ARIMA, ARIMAX
  • Exposure into how to handle underfitting and overfitting
  • Should be capable of applying techniques which helps to generalizeModels
  • Regularization techniques LASSO, RIDGE & ELASTIC NET and whento apply these
  • Strong in various feature engineering techniques and when and howto apply these
  • Good exposure inUnsupervised machine learning like clustering, dimensionality reduction,Outlier detection
  • Ability to understand how Models are optimized using varioustechniques including Gradient Descent approach
  • Good understanding of deep learning algorithms CNN, RNN, LSTM andhow to control overfitting in such cases
  • Essential Skills

  • Relevant years of experience in data science or postgraduate inanalytics / machine learning and demonstrated machinelearning application to multiple use cases using Python
  • Strong in supervised & un-supervised machine learning. Wellversed with classification type of problems using Random Forest, GradientBoosted Trees, XGBOOST, SVM, logistic regression
  • Should have worked on regression technique like linear regression.Also sound understanding of various regularization techniques such as LASSO,RIDGE & ELASTIC NET & Time Series Modelling.
  • Should have sound understanding of various generalizationtechniques like Ensemble, stacking
  • Desirable Skills

  • Shouldhave core machine learning skills like supervised and unsupervised using Pythonand on Spark cluster (using pySpark).
  • Goodknowledge on time series modelling knowledge like ARIMA, stationarity test etc.
  • Shouldhave sound understanding of deep learning using KERAS & Tensorflow
  • Abilityto solve multivariate time series problems
  • About Us

    Barclaysis a transatlantic consumer, corporate and investment bank offering productsand services across personal, corporate and investment banking, credit cardsand wealth management, with a strong presence in our two home markets of the UKand the US.

    Our goal is to become the bank of choice by providing superiorservices to customers and clients and supporting our stakeholders via acommercially successful business that generates long-

    term sustainable returns.

    For further information on EVP, please click on thelink below

    Riskand Control Objective

    AllBarclay’s colleagues have to ensure that all activities and duties are carriedout in full compliance with regulatory requirements, Enterprise Wide RiskManagement Framework and internal Barclays Policies and Policy Standards.

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    Barclays Values & Diversity

    Dynamic working gives everyone at Barclaysthe opportunity to integrate professional and personal lives, if you have aneed for flexibility then please discuss this with the hiring manager.

    Weare an equal opportunity employer and we are opposed to discrimination on anygrounds. It is the policy of Barclays to ensure equal employment opportunitywithout discrimination or harassment on the basis of race, colour, creed,religion, national origin, alienage or citizenship status, age, sex, sexualorientation, gender identity or expression, marital or domestic / civilpartnership status, disability, veteran status, genetic information, or anyother basis protected by law.

  • Barclaysrecently announced the creation of a new world-class campus at Gera Commerzonelocated in Kharadi. All Pune based roles will eventually start to move to thisnew campus starting September 2019.
  • In the run up to that, during the course of2018, there may be transitory movements of some roles to other temporary sites.

    Please speak with your recruiter about the specific location plans for yourrole.

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