MLE/MLOps, OOPs Python, Databricks, Azure

Key Responsibilities:

• Machine Learning Engineering
• Design develop and deploy scalable ML models and AI solutions
• Build end to end pipelines covering data ingestion feature engineering model training evaluation and deployment
• Apply advanced techniques for model optimization validation and explainability
• Ensure models are production ready with high accuracy and performance
• MLOps Lifecycle Management
• Design and implement MLOps frameworks for CI CD CT continuous training
• Automate model deployment versioning monitoring and rollback strategies
• Implement model performance tracking drift detection and alerting systems
• Use tools like MLflow for experiment tracking and model registry
• Python OOPs Development
• Write scalable modular and reusable code using object oriented Python
• Develop APIs and backend services for model serving and integration
• Implement best practices for code quality testing and maintainability
• Databricks Big Data
• Build and optimize pipelines using Azure Databricks and PySpark
• Work with Delta Lake for data versioning and reliability
• Manage Databricks clusters jobs and workflows
• Optimize Spark jobs for performance scalability and cost efficiency
• Azure Cloud Platform
• Design ML solutions using Azure services Azure ML ADLS Data Factory Key Vault Synapse
• Implement secure and scalable cloud architectures
• Integrate ML pipelines with Azure DevOps CI CD pipelines
• Ensure compliance with data governance and security policies
• Data Engineering Integration
• Develop robust data pipelines for ML workflows
• Handle large scale structured and unstructured datasets
• Integrate ML models with downstream applications via APIs microservices

Technical Requirements:

• Primary skills Technology Data Science Machine Learning Technology Machine Learning Python

Additional Responsibilities:

• Preferred Skills
• Experience with feature stores and model monitoring tools
• Knowledge of Docker Kubernetes containerization
• Familiarity with streaming Kafka Event Hub
• Experience with Lakehouse architecture Delta Lake
• Exposure to GenAI LLMOps optional added advantage

Preferred Skills:

Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON