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About the role
About the Role We are looking for a highly skilled Senior Data Scientist / Predictive Analytics professional with robust expertise in Machine Learning, Predictive Analytics, Generative AI, Data Engineering, and MLOps. The ideal candidate will design, build, and deploy scalable AI solutions that solve complex business problems. Key Responsibilities - Develop and deploy Machine Learning and Deep Learning models. - Build predictive analytics solutions, time series forecasting, and anomaly detection models. - Design and implement Generative AI applications using LLMs, VLMs, RAG, and Agentic AI. - Build scalable data pipelines using Azure Data Factory (ADF) and Azure Databricks. - Develop production-ready AI systems and manage end-to-end MLOps lifecycle. - Optimize AI models for performance, scalability, and reliability. - Collaborate with cross-functional teams to deliver AI-driven business solutions. Required Skills - Machine Learning: Supervised, Unsupervised & Reinforcement Learning - Predictive Analytics: Time Series Analysis, Forecasting, Anomaly Detection - Generative AI: LLMs, VLMs, RAG, Prompt Engineering, Agentic AI - Programming: Advanced Python, SQL - Deep Learning: PyTorch, TorchServe, TensorFlow - Data Engineering: Azure Data Factory (ADF), Azure Databricks, Apache Spark - MLOps: MLflow, Docker, Kubernetes, CI/CD, Model Deployment & Monitoring - Preferred Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or a related field. - 5-12+ years of hands-on experience in Data Science, Machine Learning, or AI Engineering. - Strong problem-solving, communication, and stakeholder management skills. .
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