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At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what’s possible and drive extraordinary impact. We’re building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we’re continuing to push the envelope - just like we’ve been doing for the past 20 years. If you’re ready to solve some of the toughest challenges in cybersecurity, we’re ready to help you take command of your career. Join us.
AI Engineer II
Location
India
Posted
34 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Engineer II
Rapid7
About the Team The AI Center of Excellence leverages advanced machine learning, LLMs, and agentic systems to enhance threat detection and automate security workflows for our global customers. We transform 20+ years of threat intelligence into proactive defense features through a collaborative, research-driven engineering environment. About the Role - 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. - 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. The skills and qualities you'll bring include: - 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. - 2-5 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. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. #LI-AK1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
Benefits
- 401(K), 401(K) matching, Childcare benefits, Commuter benefits, Company equity, Company-sponsored outings, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Documented equal pay policy, Volunteer in local community, Employee stock purchase plan, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Company-sponsored happy hours, Health insurance, Highly diverse management team, Job training & conferences, Open door policy, Life insurance, Mean gender pay gap below 10%, Paid volunteer time, Online course subscriptions available, Onsite gym, Open office floor plan, Paid holidays, Paid industry certifications, Paid sick days, Onsite office parking, Partners with nonprofits, Performance bonus, Pet insurance, Promote from within, Lunch and learns, Remote work program, Free snacks and drinks, Team based strategic planning, OKR operational model, Continuing education available during work hours, Mandated unconscious bias training, Unlimited vacation policy, Vision insurance, Wellness programs, Some meals provided, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity, Fertility benefits, Employee resource groups, Employee-led culture committees, Hybrid work model, President's club, Employee awards, Pay transparency, Transgender health care benefits, Wellness days, Abortion travel benefits, Meditation space, Mother's room, Bereavement leave benefits
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