Description

You will design, develop, and implement machine learning models and algorithms to solve complex business problems.

Responsibilities

• Build and manage end-to-end ML pipelines covering data cleaning, feature engineering, training, and deployment.
• Develop scalable ML solutions for production environments and establish CI/CD pipelines for automated testing and integration.
• Apply expertise in NLP, Computer Vision, Recommender Systems, and Predictive Modeling to drive business outcomes.
• Research and experiment with new frameworks in Generative AI and Deep Learning.
• Optimize existing models for performance, scalability, and accuracy while documenting all methodologies for reproducibility.

Required Skills

• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong programming skills in Python.
• Proficiency with Scikit-learn and TensorFlow.
• Experience developing and deploying ML models in production environments.
• Knowledge of CI/CD, MLOps, and software engineering best practices.
• Experience with large-scale dataset analysis and distributed data processing.
• Exposure to Recommender Systems, Search, Computer Vision, Pricing, Forecasting, or Generative AI.

Preferred Skills

• Experience with PySpark for distributed data processing.

Key Skills

Education

Any Graduate