Machine Learning Engineer

Summary

Join Perennial Systems as a Machine Learning Engineer in Pune, working remotely. This role focuses on deploying machine learning models on Google Cloud Platform (GCP) using Vertex AI, enabling real-time and batch model inferencing. You will monitor model performance, ensure adherence to best practices, and collaborate with cross-functional teams. The ideal candidate will have experience with ML-Ops, model governance, and working with diverse datasets in the retail banking domain. This position requires expertise in Python and SQL, along with proficiency in various ML libraries and frameworks. Experience deploying models in the lending domain and understanding regulatory considerations in financial services are preferred.

Requirements

• Strong expertise in Python and SQL
• Proficient with ML libraries and frameworks such as scikit-learn, pandas, NumPy, spaCy, CatBoost, etc
• In-depth knowledge of GCP Vertex AI and ML pipeline orchestration
• Experience with ML-Ops and model governance
• Exposure to use cases in retail banking—Credit Risk, Marketing, and Customer Service
• Experience working with structured and unstructured data

Responsibilities

• Deploy machine learning models on GCP using Vertex AI
• Design and implement real-time and batch inference pipelines
• Monitor model performance, detect drift, and manage lifecycle
• Ensure adherence to model governance best practices and support ML-Ops workflows
• Collaborate with cross-functional teams to support Credit Risk, Marketing, and Customer Service use cases, especially within the retail banking domain
• Develop scalable and maintainable code in Python and SQL
• Work with diverse datasets, perform feature engineering, and build, train, and fine-tune advanced predictive models
• Contribute to model deployment in the lending space

Preferred Qualifications

• Prior experience deploying models in the lending domain
• Understanding of regulatory considerations in financial services