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Machine learning Engineer

3.00 to 8.00 Years   Hyderabad   12 Aug, 2020
Zessta Software Services Pvt Ltd
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Responsibilities:

  • Select appropriate datasets and data representation methods
    • Data mining using state-of-the-art techniques
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Create and maintain optimal data pipeline architecture
    • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Design and developing machine learning systems
    • Perform statistical analysis and fine-tuning the models
    • Coordinate with different functional teams to implement models and monitor outcomes
    • Implement appropriate ML algorithms to develop and deploy AI models into production and maintain the quality and accuracy of the Model solutions during the deployments
  • Extend existing ML libraries and frameworks
    • Skills and Experience:
    • Minimum 3 years of experience as a Machine learning Engineer
    • Experience in deploying ML projects in production environment
    • Proficient in R, Python, SQL and data visualization tools like Tableau
  • Excellent communication and presentation skills
  • Strong math skills (e.g. statistics, algebra)
    • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
    • Experience in extensive data pre-processing and transformation
    • Knowledge of Linear algebra, Probability theory, Statistics, Hypothesis Testing and Optimization techniques
    • Working knowledge on the techniques like Descriptive and Inferential Statistics and performing basic predictive modelling
    • Working knowledge of various ML models and techniques like Statistics, Linear regression, Logistic regression, Decision tree, Random forest, XGBoost, Neural Networks, etc.
    • Good understanding of ML tools/libraries like Tensorflow, Keras, Pandas, Spacy, Pytorch, NLTK, SkLearn etc.
    • Hands on experience with Big Data technology stack like: Spark, HDFS, Hadoop, Hive, Pig is an added advantage
    • Participation in competitions conducted at online platforms like HackerRank and Kaggle
  • Bachelors or Masters from premier Institutes preferred .
    • ,

    Keyskills :
    big datadata miningmusic makinglinear algebraneural networksmachine learningonline platformslinear regressioncommercial modelsdata visualizationhypothesis testingpredictive modelingpresentation skillslogistic regressiondata representation

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