Predictive Analytics Data Scientist-AI Labs

You will be working as a Predictive Analytics Data Scientist at Adani Group, responsible for designing, building, and optimizing AI-driven predictive models to enhance business intelligence, risk management, and operational efficiency. Your role will involve developing and training predictive models using various techniques such as time-series forecasting, regression analysis, and anomaly detection. It is crucial to optimize predictive accuracy through feature engineering, hyperparameter tuning, and deep learning methods. Rigorous evaluation and validation of AI models will be necessary to ensure reliability, along with deploying them on cloud-based AI infrastructure for real-time scalability. Your key responsibilities will include: - Developing and training predictive models using time-series forecasting, regression analysis, and anomaly detection. - Optimizing predictive accuracy through feature engineering, hyperparameter tuning, and deep learning techniques. - Testing, refining, and validating AI models to ensure reliability. - Deploying AI models on cloud-based infrastructure using Kubernetes, Docker, and MLOps frameworks. - Understanding business challenges and translating them into AI-driven solutions aligned with strategic objectives. - Implementing AI-powered demand-supply forecasting models for production planning, logistics, and inventory management. - Enhancing operational efficiency by integrating predictive analytics into decision workflows and process automation. - Leveraging AI models for risk assessment, fraud detection, and revenue forecasting to improve cost management. You will also be responsible for data collection, feature engineering, model training, deployment, monitoring, and performance evaluation. Collaboration with AI, engineering, and business teams is vital to ensure effective operationalization of AI solutions. Compliance with industry regulations, data privacy laws, and governance frameworks is essential, along with conducting risk assessments to identify and mitigate model bias and ethical concerns. Qualifications required for this role include: - Masters degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related fields. - Certified Machine Learning Engineer (Google AWS Microsoft AI Certification). - Professional Certification in Predictive Analytics (Coursera IBM DataCamp). - MLOps & Cloud AI Certification (AWS GCP Azure). You will be working as a Predictive Analytics Data Scientist at Adani Group, responsible for designing, building, and optimizing AI-driven predictive models to enhance business intelligence, risk management, and operational efficiency. Your role will involve developing and training predictive models using various techniques such as time-series forecasting, regression analysis, and anomaly detection. It is crucial to optimize predictive accuracy through feature engineering, hyperparameter tuning, and deep learning methods. Rigorous evaluation and validation of AI models will be necessary to ensure reliability, along with deploying them on cloud-based AI infrastructure for real-time scalability. Your key responsibilities will include: - Developing and training predictive models using time-series forecasting, regression analysis, and anomaly detection. - Optimizing predictive accuracy through feature engineering, hyperparameter tuning, and deep learning techniques. - Testing, refining, and validating AI models to ensure reliability. - Deploying AI models on cloud-based infrastructure using Kubernetes, Docker, and MLOps frameworks. - Understanding business challenges and translating them into AI-driven solutions aligned with strategic objectives. - Implementing AI-powered demand-supply forecasting models for production planning, logistics, and inventory management. - Enhancing operational efficiency by integrating predictive analytics into decision workflows and process automation. - Leveraging AI models for risk assessment, fraud detection, and revenue forecasting to improve cost management. You will also be responsible for data collection, feature engineering, model training, deployment, monitoring, and performance evaluation. Collaboration with AI, engineering, and business teams is vital to ensure effective operationalization of AI solutions. Compliance with industry regulations, data privacy laws, and governance frameworks is essential, along with conducting risk assessments to identify and mitigate model bias and ethical concerns. Qualifications required for this role include: - Masters degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related fields. - Certified Machine Learning Engineer (Google AWS Microsoft AI Certification). - Professional Certification in Predictive Analytics (Coursera IBM DataCamp). - MLOps & Cloud AI Certification (AWS GCP Azure).