Description

You will design, develop, and deploy machine learning models for business applications, owning the end-to-end lifecycle from data preparation to production integration.

This role is on-site.

Responsibilities

• Build and maintain data pipelines and ETL workflows using Spark or Airflow.
• Train, evaluate, and optimize models using supervised and unsupervised techniques.
• Deploy models into production systems via REST APIs or gRPC services.
• Perform feature engineering and statistical analysis to improve model performance.
• Monitor model health and implement continuous improvements for scalability and reliability.

Required Skills

• 5+ years of experience as an ML Engineer or Data Scientist.
• Strong proficiency in Python, Pandas, NumPy, and Scikit-learn.
• Hands-on experience with PyTorch or TensorFlow for model development.
• Experience building ETL pipelines using Spark or Airflow.
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience deploying ML models using REST APIs, gRPC, and microservices.
• Understanding of feature engineering, model evaluation, and statistics.

Preferred Skills

• B.Tech, M.Tech (Dual), B.E., or B.Tech degree.
• Experience working in production ML environments.
• Documentation of models, experiments, and technical solutions.

Key Skills

Education

Any Graduate