Machine Learning Engineer

Overview

Machine Learning Engineer

Experience: 3 to 5 years

Budget : 70K.P.M

Freelance

Remote hours

Working hours : 8 hours per day

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.

Job Type: Freelance
Contract length: 12 months

Pay: ₹70,000.00 - ₹80,000.00 per month

Experience:

• Machine learning: 4 years (Preferred)
• Python: 3 years (Preferred)
• Vertex AI: 3 years (Preferred)

Work Location: Remote