About Position:

As a Senior Machine Learning Engineer, you will be responsible for designing and implementing scalable data platforms and machine learning solutions on Azure while ensuring engineering best practices and operational excellence.
- Role: Senior Machine Learning Engineer
- Location: All Persistent Locations
- Experience: 8 to 12 years
- Job Type: Full Time Employment

What You'll Do:
- Design, develop, and maintain large-scale data processing pipelines using Azure Databricks and PySpark.
- Build and optimise data solutions on Azure Cloud services.
- Develop robust and scalable applications using Python and object-oriented programming principles.
- Implement and manage machine learning lifecycle workflows using MLflow.
- Create efficient data models and perform complex querying using SQL.
- Develop unit tests and automation frameworks using PyTest to ensure code quality and reliability.
- Work on data ingestion, transformation, cleansing, and preprocessing for analytical and ML workloads.
- Collaborate with data scientists, architects,



and business stakeholders to translate requirements into technical solutions.
- Follow software engineering best practices including code reviews, version control, and documentation.
- Implement deployment and release processes using CI/CD methodologies.
- Troubleshoot and optimise data pipelines and machine learning workflows for performance and scalability.
- Contribute to architecture discussions and drive technical excellence across projects.

Expertise You'll Bring:
- 8+ years of experience in Data Engineering, Machine Learning Engineering, or related domains.
- Hands-on experience with Azure Databricks and Azure Cloud Services.
- Robust expertise in PySpark for distributed data processing.
- Advanced programming skills in Python.
- Experience with MLflow for experiment tracking, model management, and deployment.
- Strong knowledge of SQL and database concepts.
- Experience with PyTest and automated testing framework

📌 Senior Machine Learning Engineer (India)
🏢 Persistent Systems
📍 India