Machine Learning Engineer

Posted on June 24, 2025

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Job Description

  • Skills Required
  • GCP
  • Google Cloud
  • Vertex AI
  • Python
  • SQL
  • ML-Ops
  • Data Scientist
  • Job Description
  • Experience: 3 to 5 years
  • 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.
  • Required Skills & Experience:
  • * 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 Skills

machine learning engineer