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Machine Learning, AI/ML, GCP Professional
Ciber
naukri
Chennai
4-9 years
Not Disclosed
Full time
01 May 2026
Top Skills:
SqlData MiningMachine LearningPredictive ModelingGcpData AnalysisPythonData ScienceAutomationAdvanced AnalyticsAiAirflowApiAutomationBusiness RequirementCloud SqlData AnalysisData FusionData MiningGcpGoogle Cloud PlatformMachine LearningPredictive ModelingPysparkPythonTerraform

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About the Role:

We are looking for a Machine Learning, AI/ML, GCP with 4+ years experience in relevant field of Machine Learning, AI/ML, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton, Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python and API.

Requirements:

  • Responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

Key Responsibilities:

  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
  • Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
  • Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
  • Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
  • Research, study and stay updated in the domain of data science and machine learning

#LI-Hybrid #LI-MS2



Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.