Data Science Quality Engineer

Position: Data Science Quality Engineer Location: Dallas, TX - (Onsite from Day 1 - Need Only Local) Duration: Long Term Contract Interview Mode: One Teams call, One Face to Face interview

Job Requirements - Must Have 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.

Soft Skills:
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, troubleshooting, code debugging, and root cause analysis skills.

Thanks & Regards
Mahesh