3 Job openings found

1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
 - Data Engineer (PySpark):• 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.• Experience working on Unix based platforms with ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Data Analyst having - 7+ years of experience Unstructured problem-solving mindset. Willing to work in US Shift. (2 – 11 PM). SQL (strong) Banking knowledge & SAS (preferred) Credit Risk knowledge Python (basics) PySpark (optional) People who have worked on Risk data will have an advantage. Writing Proc SQL Queries to fetch required data from database (Teradata, My SQL, snowflake) tables as perrequirements. ...

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