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Urgent! Perennial Systems- Machine Learning Engineer Job Opening In India, India – Now Hiring Nexthire

Perennial Systems Machine Learning Engineer



Job description

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.


Required Skill Profession

Computer Occupations



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