Senior Machine Learning Engineer (Azure ML & MLOps)

Role: Senior Machine Learning Engineer (Azure ML & MLOps) Location India (Remote) Key Responsibilities Build batch jobs for large-scale data processing and machine learning model training. Deploy machine learning models using Azure Machine Learning Studio . Work with Azure services such as Azure Functions , Cosmos DB , Azure DevOps , Azure Key Vault , and related cloud-native services. Evaluate and select appropriate machine learning algorithms, frameworks, and cloud platforms (e.g., Azure , Snowflake ). Guide teams in model operationalization ( MLOps ), including model versioning, deployment, and retraining pipelines. Ensure AI/ML solutions align with business goals, performance, scalability, and compliance requirements. Collaborate with cross-functional teams to define data strategy, governance, and the AI adoption roadmap. Preferred Qualifications Bachelor's or Master's degree in Computer Science , Data Science , or a related field. 610+ years of strong hands-on experience in Machine Learning Engineering and MLOps . Proficiency in Python , machine learning libraries, and cloud-native services. Experience with large-scale model deployment and performance tuning . Strong understanding of Azure-based AI/ML ecosystem and cloud services. Primary Skills Azure Machine Learning Studio Python Machine Learning & MLOps Azure DevOps Azure Functions Cosmos DB Azure Key Vault Snowflake Model Deployment & Retraining Pipelines CI/CD for ML Batch Data Processing Performance Optimization Role: Senior Machine Learning Engineer (Azure ML & MLOps) Location India (Remote) Key Responsibilities Build batch jobs for large-scale data processing and machine learning model training. Deploy machine learning models using Azure Machine Learning Studio . Work with Azure services such as Azure Functions , Cosmos DB , Azure DevOps , Azure Key Vault , and related cloud-native services. Evaluate and select appropriate machine learning algorithms, frameworks, and cloud platforms (e.g., Azure , Snowflake ). Guide teams in model operationalization ( MLOps ), including model versioning, deployment, and retraining pipelines. Ensure AI/ML solutions align with business goals, performance, scalability, and compliance requirements. Collaborate with cross-functional teams to define data strategy, governance, and the AI adoption roadmap. Preferred Qualifications Bachelor's or Master's degree in Computer Science , Data Science , or a related field. 610+ years of strong hands-on experience in Machine Learning Engineering and MLOps . Proficiency in Python , machine learning libraries, and cloud-native services. Experience with large-scale model deployment and performance tuning . Strong understanding of Azure-based AI/ML ecosystem and cloud services. Primary Skills Azure Machine Learning Studio Python Machine Learning & MLOps Azure DevOps Azure Functions Cosmos DB Azure Key Vault Snowflake Model Deployment & Retraining Pipelines CI/CD for ML Batch Data Processing Performance Optimization