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 solid 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.