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Machine learning Engineer

3.00 to 6.00 Years   Hyderabad   13 Jan, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Department: IT

We are looking for highly motivated self-starter Machine Learning engineer.

Responsibilities:
  • Select appropriate datasets and data representation methods
  • Data mining using state-of-the-art 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
  • Implement appropriate ML algorithms to develop and deploy AI models into production
  • Extend existing ML libraries and frameworks
Skills and Experience:
  • Minimum 3 years of experience as a Machine learning Engineer
  • Proficient in R, Python, SQL, C, C++ and data visualization tools like Tableau
  • Experience of Computer Vision Tasks like image classification, image segmentation, object detection, face detection.
  • Hands on experience with Computer Vision Libraries like Opencv, scikit-image, SimpleCV, mahotas.
  • Experience in extensive data pre-processing and transformation
  • Knowledge of Linear algebra, Probability theory, Statistics, Hypothesis Testing and Optimization techniques
  • 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
Education:
  • Bachelors or Masters from premier Institutes preferred .
  • Experience 3-10 years
,

Keyskills :
big datadata mininglinear algebracomputer visionneural networksmachine learningobject detectionlinear regressiondata visualizationhypothesis testingimage segmentationlogistic regressionposition managementdata representationbusiness requireme

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