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Rapid7 Logo Rapid7 · IT - Software Development

Ai Engineer - Ii

India, Pune · Job Posted March 20, 2026
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Job Description

As a Data Scientist (SE-2), your primary responsibility will be to contribute to the end-to-end development, evaluation, and monitoring of ML and LLM-based security features.

Job Responsibility

  • Execute data acquisition, cleaning, and feature engineering to prepare high-quality datasets for security modeling
  • Build and evaluate supervised and unsupervised ML models, including classification, clustering, and anomaly detection
  • Develop and optimize LLM-based workflows, including prompt engineering and the implementation of RAG pipelines
  • Support the deployment and observability of models on AWS infrastructure using established CI/CD pipelines

Requirements

  • A courageous and curious mindset, demonstrating a strong ability to learn new technologies and operate in ambiguous problem spaces
  • Exceptional collaboration skills with the ability to work cross-functionally with senior scientists and engineers to ship production features
  • Strong ownership and principled decision-making when evaluating model performance and data quality
  • 3–5 years of professional experience in Data Science or ML Engineering roles
  • Proficiency in Python and its scientific ecosystem, specifically Pandas, NumPy, and scikit-learn
  • Hands-on experience building and tuning supervised and unsupervised machine learning models
  • Working knowledge of AWS ML services, including SageMaker, S3, Bedrock, and Lambda
  • Foundational exposure to LLM orchestration frameworks such as LangChain or HuggingFace Transformers
  • Understanding of deep learning frameworks (PyTorch or TensorFlow) for NLP or sequence-based problems
  • Familiarity with model evaluation metrics and explainability techniques like SHAP or LIME
  • Basic understanding of CI/CD pipelines (GitHub Actions/Jenkins) and version control for ML workloads
  • Experience monitoring model performance and drift using tools like CloudWatch
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