MLE/MLOps, OOPs Python, Databricks, Azure

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 Py Spark
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

• Primary skills:Technology->Data Science->Machine Learning,Technology->Machine Learning->Python

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)

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

Preferred skills: Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON