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.

• 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 lifecycleromax.
• 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.

• Strong expertise in Python and SQL.
• Proficient with ML libraries and frameworks such as scikit‑learn, pandas, Num Py, spaCy, Cat Boost, 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.

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