Data Science Practitioner

 About The Role  



Project Role :Data Science Practitioner




Project Role Description :Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.


Must have skills :Google Cloud Platform Architecture



Good to have skills :NA
Minimum

18 year(s) of experience is required



Educational Qualification :15 years full time education




Summary:As a Technology Architect, you will design, develop, and deliver advanced analytics and machine learning solutions leveraging Google Clouds AI/ML capabilities. You will define models and workflows to meet performance, scalability, and accuracy requirements, ensuring business insights are actionable and aligned with strategic goals. You will be responsible for the successful deployment of AI/ML solutions on Google Cloud.Roles & Responsibilities:Expected to be a Subject Matter Expert (SME) with deep expertise in data science and AI/ML on Google Cloud.Influence and guide analytical and AI-driven decision-making across multiple teams.Engage with stakeholders to identify high-impact data science opportunities.Design, build, and optimize ML models for predictive, prescriptive, and descriptive analytics.Collaborate with data engineering teams to ensure high-quality data pipelines for ML workloads.Ensure solutions adhere to ethical AI principles, security requirements, and compliance standards.Lead model deployment, monitoring, and continuous improvement in production environments.Professional & Technical


Skills:

Must To Have


Skills:

Proficiency in Google Cloud AI/ML tools (Vertex AI, AI Platform, BigQuery ML, TensorFlow, AutoML).Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.Experience with large-scale data processing frameworks (Dataflow, Dataproc) and SQL-based analytics (BigQuery).Proficiency in Python/R for data science, with experience in ML frameworks (TensorFlow, Scikit-learn, PyTorch).Knowledge of MLOps practices, including CI/CD for ML and model governance.
Additional Information:The candidate should have a minimum of 18 years of experience in data science, with a focus on Google Cloud AI/ML solutions.This position is based Pan India

 Qualification 15 years full time education