AI Engineer - Hyderabad, India - Findernest Software Services Pvt Ltd

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    Description
    We are looking fora competent machine learning engineer to optimize our machinelearning systems. You will be evaluating existing machine learning(ML) processes performing statistical analysis to resolve data setproblems and enhancing the accuracy of our AI softwares predictiveautomation capabilities.To ensure success asa machine learning engineer you should demonstrate solid datascience knowledge and experience in a related ML role. A firstclassmachine learning engineer will be someone whose expertisetranslates into the enhanced performance of predictive automationsoftware.Roles &Responsibilities:
    • To research modifyand apply data science and data analyticsprototypes.
    • To create and construct methods andplans for machine learning
    • Employing testfindings to do statistical analysis and improvemodels
    • To search the internet for trainingdatasets that are readily available
    • ML systemsand models should be trained and retrained asnecessary
    • To enhance and broaden current MLframeworks and libraries
    • To create machinelearning applications in accordance with client or customerneeds
    • To investigate test and put into practiceappropriate ML tools and algorithms.
    • Toevaluate the application cases and problemsolving potential of MLalgorithms and rank them according to successlikelihood
    • To better comprehend data throughexploration and visualization as well as to spot discrepancies indata distribution that might affect a model s effectiveness whenused in practicalsituations
    PrimarySkills:
    • DataModelling
    • Natural Language Processing Word2vecSentiment Analysis Summarisation Gensim andNLTK
    • Unix & LinuxServers
    • Programming Languages C C Python andJava
    • Spark andHadoop
    Requirements:
    • Advancedmath and statistics knowledge particularly in the areas of calculuslinear algebra and Bayesian statistics
    • Advanceddegree in math computer science statistics or a relatedfield
    • A master s degree in artificialintelligence deep learning or a relateddiscipline
    • Strong teamwork problemsolving andanalytical skills.
    • Abilities in softwareengineering
    • Knowledge of datascience
    • Languages for coding and programmingsuch as Python Java C C R andJavaScript
    • Practical understanding of MLframeworks
    • Practical familiarity with MLlibraries and packages
    • Recognize softwarearchitecture data modelling and datastructures
    • Understanding of computerarchitecture
    Interested candidatescan forward their CVs to

    data,learning,ml,machinelearning,software,datascience,statistics,advanced,algorithms,c,artificialintelligence,linux architecture