Description

You will design, develop, and deploy machine learning models for predictive pricing, vehicle valuation, and condition monitoring using automotive datasets.

This role is on-site.

Responsibilities

• Build and maintain end-to-end ML pipelines in Python, including data preprocessing, feature engineering, and model evaluation.
• Containerize and deploy ML services using Docker and production APIs.
• Monitor model performance in production, retrain models, and optimize for reliability.
• Create dashboards and visualizations to communicate insights for pricing and valuation decisions.

Required Skills

• 3-5 years of relevant experience in data science and machine learning.
• Strong proficiency in Python for end-to-end ML pipeline development and model implementation.
• Experience with SQL for working with structured data and building reliable datasets.
• Hands-on experience with Docker for packaging and deploying ML components.
• Proven track record of deploying ML models to production environments.

Preferred Skills

• Experience with Matplotlib for analysis and reporting.
• Proficiency in Tableau and/or PowerBI for dashboarding and stakeholder reporting.
• Forecasting experience for time-series, demand, or pricing use cases.

Key Skills

Education

Any Graduate