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Carrierin Services | Jobs | LEAD ENGINEER – DATA ANALYTICS – P3 | BigDataKB.com | 10-02-22

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Job Location: Hyderabad/Secunderabad


  • Collect data from IoT platform, perform data integrity and quality check and filtering
  • Organize large-scale data to the required formats for data analysis for the intended business use cases
  • Define hypotheses and establish consensus among stakeholders and summarize the data sufficiency for different service business use cases
  • Data mining using state-of-the-art methods
  • Selecting features to evaluate the defined hypotheses, building and optimizing classifiers using machine learning techniques
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Develop tools of visualization and dashboard to illustrate the data analysis results
  • Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, PTC, AWS etc.)
  • Support the development of end-to-end cloud-based analytics solution implementation
  • Maintain the analytics solutions to sustain the value addition and focus on betterment for continuous improvement


Required Technical Skills/Education:

  • Excellent understanding of data mining, machine learning techniques and algorithms
  • Knowledge on statistical programming languages, including but not limited to R, Matlab, Python, SLQ, etc., to process data for insights that are monetizable
  • Strong coding experience: C/C++, Python, Java, JavaScript, etc
  • Solid background in database management tools such as SQL
  • Broad set of technical skills and expertise in machine learning focused on cutting edge technologies such as IoT, artificial intelligence (AI), and cloud computing
  • Familiar with IoT framework and experience in implementing analytics algorithms in any of the cloud-based platforms Azure, PTC, AWS
  • Fluent English (both written and spoken), solid technical writing, presentation and communication skills
  • Good understanding of control systems

Preferred Skills/Education:

  • Strong hands-on experience in an analytics environment and applications.
  • Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale dataset using cloud-based platform.
  • Strong hands-on experience in implementing analytics algorithms to cloud-based IoT platforms (Microsoft Azure preferred).
  • Ability to use Python libraries : Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, SALib.
  • Ability to perform hyperparameter tuning, innate ability to choose right algorithms by the evaluation of requirements vs strengths of algorithm along with vectorized implementation of analytics algorithms.
  • Experience with developing end-to-end analytics solution using Python or cloud-based implementation is a plus
  • Sensitize the stakeholders to understand, support and realize the analytics value for investing in exploring analytics use cases

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