Perennial Systems- Machine Learning Engineer

2 days ago


remote, India Nexthire Full time

Experience: 3 to 4 yearsRole- Machine Learning EngineerRemote, PunePerennial 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.



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