Azure Data Scientist (AI & ML) (Remote, Full-Time), India [AS186]

Microsoft Certified: Azure Data Scientist Associate (DP-100) — mandatory. 2+ years of experience in applied machine learning or data science, delivering production-grade ML solutions. Hands-on experience designing, training, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. Proficiency in Python, pandas, and scikit-learn for feature engineering, model training, and validation. Proven ability to deploy models to real-time REST endpoints and orchestrate batch inference pipelines. Experience implementing MLOps practices, including CI/CD pipelines, model registries, and automated retraining. Understanding of Azure cloud and data engineering concepts. Strong collaboration skills — able to work with subject matter experts to translate business processes into ML opportunities. Excellent communication and problem-solving abilities. Knowledge of responsible and ethical AI frameworks.

Design and deliver end-to-end machine learning solutions aligned with operational and governance standards. Prepare and transform datasets for modelling using Python and Azure-native tools. Build, evaluate, and deploy models using AutoML, MLflow, and custom pipelines. Implement monitoring and retraining strategies to detect drift and maintain model accuracy. Apply responsible AI principles — fairness, explainability, and privacy — throughout model development. Collaborate with cross-functional teams to integrate ML and AI solutions into business workflows. Support clients in maintaining and optimising Azure ML environments. Contribute to MLOps implementation, including CI/CD pipelines, model registry, and environment management. Work with tools such as Azure DevOps, GitHub Actions, Azure Storage, and Power BI/Fabric. Stay current with emerging Azure AI technologies.