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Data Science Quality Engineer

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Data Science Quality Engineer

Overview

We are looking for a Data Science Engineer with expertise in building and testing data science models, automating ETL processes, and developing Gen AI projects using various LLMs. Candidates must have strong experience in Python for data processing and machine learning, along with proficiency in AWS tools (S3, Glue, Redshift) and DevOps practices like CI/CD in GitLab. Effective communication and problem-solving skills are essential to collaborate with cross-functional teams and ensure data quality across cloud and on-prem environments.

No. of Vacancies
2
Specific Skills
  • Experience with Building different Data Science Projects and its Testing activities.
  • Experience with Training and Testing supervised and unsupervised Machine Learning Models.
  • Experience with different kinds of metrics for evaluating Data Science model and its accuracies.
  • Experience with Python on building Automation framework. Extensive experience with Python scripting with respective to Data processing, Data mining and Data cleansing.
  • Extensive experience with Python scripting with respective Data Science and Machine Learning activities.
  • Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O.
  • Experience in building Gen AI projects with different kinds of LLMs.
  • Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and Sage maker
  • Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure
  • Extensive Experience with SQL/Unix/Linux scripting is a must
  • Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue, Alteryx)
  • Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science
  • Experience in building Data flow CI/CD pipelines in GitLab
  • Extensive experience in DevOps/Data Ops space.
  • Strong experience of Kafka.
 
Additional Requirements
  • Great communication skills (regularly interacts with cross functional team members)
  • Who takes Ownership to complete the tasks on time with less supervision
  • Guiding developers and automation teams in case of an issue
  • Monitoring, reviewing, and managing technical operations
  • Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
Job Nature
Full Time
Educational Requirements
Any Graduate
Experience Requirements
3-7 Years
Job Location
Dallas
Job Level
Sr. Position

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