About Smart Working At Smart Working we believe your job should not only look right on paper but also feel right every day This isnt just another remote opportunity its about finding where you truly belong no matter where you are From day one youre welcomed into a genuine community that values your growth and wellbeing Our mission is simple to break down geographic barriers and connect skilled professionals with outstanding global teams and products for fulltime longterm roles We help you discover meaningful work with teams that invest in your success where youre empowered to grow personally and professionally Join one of the highestrated workplaces on Glassdoor and experience what it means to thrive in a truly remotefirst world About the Role Were looking for a DP100certified Azure Data Scientist who is passionate about applied Machine Learning and delivering measurable improvements for clients through smart efficient and scalable solutions Youll be part of a growing innovation and technology team contributing to the design training and deployment of AI and ML models within the Azure ecosystem Using your expertise in Azure Machine Learning Python pandas scikitlearn and Azure SDKs youll help shape our data and productivity capabilities integrating ML models into real business processes that drive meaningful outcomes This role is ideal for someone who combines technical depth curiosity and a commitment to continuous learning eager to build a longterm career in a forwardthinking collaborative environment ResponsibilitiesWork directly with business stakeholders to design and deliver endtoend machine learning solutions aligned with operational and governance standardsPrepare and transform datasets for modelling using Python and Azurenative tools ensuring data quality and consistency across the ML lifecycleBuild evaluate and deploy models using AutoML MLflow and custom pipelines focusing on performance scalability and maintainabilityImplement monitoring and retraining strategies to detect drift and maintain model accuracy over timeApply responsible AI principles fairness explainability and privacy throughout model developmentCollaborate with crossfunctional teams to integrate ML and AI solutions into business workflows enhancing decisionmaking engagement and productivitySupport clients in maintaining and optimising Azure ML environments for reproducible experimentation and efficient deploymentContribute to MLOps implementation including CI CD pipelines model registry and environment management across dev test prod environmentsWork with tools such as Azure DevOps GitHub Actions Azure Storage and Power BI Fabric to ensure solutions are productionready and observableStay current with emerging Azure AI technologies contributing to the continuous improvement of our machine learning practices RequirementsMicrosoft Certified Azure Data Scientist Associate DP100 mandatory2 years of experience in applied machine learning or data science delivering productiongrade ML solutionsHandson experience designing training and deploying models using Azure Machine Learning AML AutoML and MLflowProficiency in Python pandas and scikitlearn for feature engineering model training and rigorous validationProven ability to deploy models to realtime REST endpoints and orchestrate batch inference pipelinesExperience implementing MLOps practices including CI CD pipelines model registries and automated retrainingUnderstanding of Azure cloud and data engineering concepts including compute storage and orchestration servicesStrong collaboration skills able to work with subject matter experts to translate business processes into ML opportunities with measurable impactExcellent communication and problemsolving abilities with confidence engaging technical and nontechnical audiencesKnowledge of responsible and ethical AI frameworks ensuring transparency and compliance in model development Nice to HaveExposure to Kubernetes Azure AI Search or Azure AI Foundry for scalable ML deploymentsFamiliarity with generative AI techniques and language model optimisationExperience integrating analytics or model outputs into Power BI or Azure Fabric dashboardsUnderstanding of Azure cost governance and performance optimisation for ML workloadsBroader knowledge of data governance and security principles in AIdriven environmentsResponsible AI Azure ML environment optimisation business workflow integration with ML staying current with emerging Azure AI technology BenefitsFixed Shifts 12 00 PM 9 30 PM IST Summer 1 00 PM 10 30 PM IST Winter No Weekend Work Real worklife balance not just wordsDay 1 Perks Laptop and full medical insurance providedSupport That Matters Mentorship community and forums where ideas are sharedTrue Belonging A longterm career where your contributions are valued At Smart

📌 Azure Data Scientist AI and ML Remote FullTime India (Chennai)
🏢 Smart Working
📍 Chennai