CrashPlan is seeking a motivated AI/ML Engineer Intern in Bengaluru, India. This internship is an excellent opportunity for fresh graduates or students to gain practical experience in machine learning, data pipelines, and cloud AI tools, all while contributing to the development of cybersecurity-focused SaaS solutions.
As part of the specialized engineering team, interns will work on real production systems, implement AI/ML models, and assist in building infrastructure for monitoring and deploying ML features. If you are passionate about AI, ML, and cybersecurity, this role provides a hands-on pathway to grow in these rapidly evolving fields.
About CrashPlan
CrashPlan® provides cyber-ready data resilience and governance in a single platform. Its solutions are trusted by businesses worldwide for backup, recovery, ransomware protection, and data compliance. CrashPlan empowers organizations to safeguard their critical data across servers, endpoints, and SaaS applications without disrupting operations.
CrashPlan values learning, innovation, and collaboration, offering interns the chance to work closely with senior engineers and data scientists in a supportive, high-impact environment.
Job Overview
As an AI/ML Engineer Intern, you will support the development and deployment of machine learning capabilities to enhance CrashPlan’s SaaS data protection platform. You’ll gain experience in MLOps, AI pipelines, and applied ML for cybersecurity, while learning directly from senior ML architects.
Roles and Responsibilities
- Participate in AI/ML scrum teams and follow MLOps and secure development best practices.
- Assist in designing and developing data pipelines for internal analysis and security insights.
- Implement and test machine learning models for domains like anomaly detection, log analysis, and data simulation.
- Contribute to the infrastructure setup for deploying and monitoring AI/ML features in cloud environments.
- Participate in code reviews, technical design discussions, and sprint planning for AI/ML projects.
- Learn and collaborate with senior ML architects and data scientists through pair programming and mentorship.
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | Currently pursuing or recently completed Bachelor’s in Computer Science, AI/ML, Data Science, or related field |
| Experience | Freshers or 0–1 year relevant experience |
| Job Type | Full-Time Internship |
| Location | Bengaluru, India |
| Skills Required | Python programming, basic ML frameworks, understanding of ML algorithms, strong willingness to learn |
| Preferred Skills | Experience with data pipelines, deep learning/NLP, anomaly detection, AI cloud platforms (AWS Sagemaker, Bedrock, Azure AI), RAG, Agentic AI, Git, MLOps, SaaS environment exposure |
Expected Stipend / Market Estimate 💰
For AI/ML internships in Bengaluru, the stipend for freshers typically ranges:
- ₹12,000 – ₹20,000 per month
- Exposure to MLOps, cloud AI platforms, and SaaS systems adds significant learning value beyond monetary benefits
- High-performing interns may receive opportunities for full-time conversion with a competitive salary post-internship
This internship is ideal for building a strong foundation in machine learning, AI deployment, and cybersecurity applications, which are highly sought-after in today’s tech market.
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What You’ll Gain
- Hands-on experience with applied AI/ML in production SaaS systems
- Exposure to cloud platforms and MLOps pipelines
- Practical experience in anomaly detection, NLP, and AI-driven cybersecurity features
- Mentorship from experienced ML engineers and data scientists
- Opportunity to contribute to globally used products and grow in AI/ML career paths
How to Apply
Submit a resume highlighting Python projects, ML experience, data pipeline exposure, and cloud platform familiarity. Include any academic or personal projects in machine learning, NLP, or cybersecurity, as these will strengthen your application.
👉 Apply by clicking the button below to start your journey as a CrashPlan AI/ML Engineer Intern in Bengaluru.
Disclaimer
This job information is sourced from official and public CrashPlan postings. CrashPlan does not charge any fees for applications. Selection is based solely on merit. We do not guarantee recruitment and are not responsible for any loss arising from reliance on this information.
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