Cedar Gate Services

Software Engineer (Machine Learning)

Cedar Gate Services

Software Engineer (Machine Learning)

Cedar Gate Services Pvt. Ltd (Formerly Deerwalk Services Pvt. Ltd)  is a leading software company in Kathmandu, Nepal, providing software development, software testing, data analytics, IT infrastructure and business process support services to its parent company in the United States. For more information,
visit: https://cedargate.com/

Software Engineer (Machine Learning)

Views: 1604 | This job is expired 1 week, 5 days ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 2 ]
Employment Type : Full Time
Job Location : Kathmandu, Nepal
Offered Salary : Negotiable
Apply Before(Deadline) : Aug. 03, 2022 23:55 (1 week, 5 days ago)

Job Specification

Education Level : Bachelor
Experience Required : More than or equals to 1 year
Professional Skill Required : Interpersonal Management Communication Organizational Algorithms
Other Specification
  • Bachelor’s Degree in Computer Engineering, Computer Science, or a related (or equivalent) field.
  • 1+ year of relevant experience.
  • Strong programming experience using Python. 
  • Familiarity with popular machine learning algorithms and their usage such as Linear/Logistic Regression, Decision Trees, Random Forests, SVM, K-Nearest Neighbors, XGBoost, Clustering, Deep Learning (Neural Networks), Naive Bayes etc.
  • Strong knowledge of feature engineering techniques such as missing data imputation, discretization, outlier handling, feature scaling etc.
  • Knowledge of large-scale distributed data processing using Apache Spark, Hadoop and related technologies.

Job Description

Cedar Gate Services is looking for two Software Engineers (Machine Learning) to join our Analytics Research team.

Job Summary:

The major job responsibility involves the analysis of data to find patterns that can be utilized to predict and forecast artefacts in the US healthcare domain. They should be proficient in exploratory data analysis and predictive analysis along with the ability to write well-designed, testable, and efficient code.


  • Understand machine learning algorithms and statistical and computational complexity.
  • Analyze, solve business problems and provide insights through machine learning and data mining.
  • Evaluate machine learning models using industry-standard metrics.
  • Investigate new APIs and learn how to use them.
  • Produce technical design documents.
  • Write industry-standard code in Python and perform code reviews.
  • Perform unit tests and debug/fix software defects.

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