Job description

Responsibilities

  • Collaborate with cross-functional teams to integrate generative models into data products.
  • Develop, implement, and optimize generative models for enhanced data-driven solutions.
  • Pre-process, clean, and transform data for better data product efficiency.
  • Research and prototype new generative AI techniques to improve product capabilities.
  • Scale and deploy generative models in production environments.

Requirements

  • Strong proficiency in machine learning, deep learning, and generative models.
  • Should be familiar with concepts like RAG, Prompt Engineering, Foundation LLMs, and the latest research and features on Gen AI.
  • Experience with Python, TensorFlow, PyTorch, or similar frameworks.
  • Data pre-processing, cleaning, and feature engineering for AI models.
  • Knowledge and practical use of AWS services for data handling and deployment.
  • Proficiency in SQL for data manipulation and querying.
  • Understanding of data structures, algorithms, and database technologies.
  • Previous experience deploying AI-driven data products or solutions.
  • Familiarity with cloud platforms and distributed computing for AI applications.
  • Knowledge of other AI techniques (NLP or computer vision) is a plus.
  • Strong problem-solving skills and ability to work in a collaborative environment.

Qualifications

  • Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in Data Science & Machine Learning.

This job was posted by Shreya N from Piramal Capital & Housing Finance.

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