Perennial Systems- Machine Learning Engineer

Experience: 3 to 4 years
Role- Machine Learning Engineer
Remote, Pune

Perennial Systems is looking for a skilled Machine Learning Engineer with hands-on experience deploying models on Google Cloud Platform (GCP) using Vertex AI. This role involves enabling real-time and batch model inferencing based on specific business requirements, with a strong focus on production-grade ML deployments.

Key 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.

Skills to have:

* 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.

Nice to Have:

* Prior experience deploying models in the lending domain.

* Understanding of regulatory considerations in financial services.