Data Scientist

Role Overview Seeking a hands‑on Senior Data Scientist / AI Engineer with 5–6 years of experience to deliver end‑to‑end Machine Learning and AI solutions on Azure. The role involves building scalable data pipelines, developing ML models and AI agents, and deploying production‑grade solutions for real business use cases. Key Responsibilities Own end-to-end AI/ML solution delivery from problem definition to production Build and maintain data pipelines using PySpark and Spark on Azure Databricks Perform feature engineering, data preparation, and model development Develop, deploy, and monitor ML models and AI agents Implement agentic AI workflows with multi‑step reasoning and tool usage Track experiments and deployments using Mlflow Monitor model performance, drift, and reliability in production Collaborate with business, data engineering, and analytics teams Mentor junior team members and promote best practices Required Skills Strong hands‑on experience in Python and SQL Experience with PySpark, Spark, and Azure Databricks Solid understanding of ML workflows and evaluation techniques Experience with MLflow and MLOps fundamentals Exposure to LLMs, AI agents, and GenAI frameworks (LangChain/Semantic Kernel preferred) Experience & Education 5–6 years of hands‑on experience in Data Science, ML, or AI Engineering Proven experience delivering ML/AI solutions in production Experience in cloud environments, preferably Azure Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field #J-18808-Ljbffr