Job Title

Role: AI/ML Developer – Azure DatabricksType: Hybrid Location: Noida, Bengaluru, Chennai, Pune or HyderabadExperience: 5+ YearsBudget: 7-11 LPAJob Summary-We are seeking an experienced AI/ML Developer with strong expertise in Azure Databricks, Python, PySpark, and SQL to design, develop, and deploy scalable machine learning and data engineering solutions. The ideal candidate will work closely with data scientists, architects, and business stakeholders to deliver high-impact AI/ML solutions on the Azure cloud platform.Key Responsibilities-Design, develop, and maintain end-to-end AI/ML solutions using Azure DatabricksBuild and optimize data pipelines using PySpark and Spark SQLDevelop, train, evaluate, and deploy machine learning models in production environmentsPerform data preprocessing, feature engineering, and model tuningImplement scalable batch and streaming data solutionsOptimize Spark jobs for performance, cost, and reliabilityCollaborate with data scientists to productionize ML modelsEnsure best practices in code quality, testing, version control, and CI/CDWork with large, complex datasets across structured and semi-structured sourcesMonitor model performance and data drift in productionDocument technical designs, workflows, and solutionsRequired Skills & Qualifications-5+ years of hands-on experience in AI/ML or data engineering rolesStrong proficiency in Python for data processing and ML developmentExtensive experience with Azure DatabricksSolid expertise in PySpark and Spark SQLStrong knowledge of SQL for complex data analysis and transformationsExperience building and deploying machine learning models (regression, classification, clustering, etc.)Familiarity with ML libraries such as Scikit-learn, MLflow, TensorFlow, or PyTorchExperience with Azure services such as:Azure Data Lake Storage (ADLS)Azure Synapse AnalyticsAzure Machine Learning (preferred)Understanding of ETL/ELT concepts, data warehousing, and big data architecturesExperience with Git and collaborative development workflowsStrong problem-solving and analytical skillsExcellent communication and stakeholder collaboration skillsPreferred / Nice-to-Have Skills-Experience with real-time/streaming data (Kafka, Event Hubs, Structured Streaming)Knowledge of MLOps practices, CI/CD pipelines, and model lifecycle managementExposure to Delta Lake and data versioningExperience with containerization (Docker) and orchestration toolsUnderstanding of data governance, security, and compliance in AzureDomain experience in finance, healthcare, retail, or telecom (optional)