Cisco Machine Learning Internship for Engineering (Hyderabad) Freshers 2026 | Details, Apply Link

If you’re aiming to build a career in AI and machine learning, this internship opportunity at Cisco could be a strong stepping stone. The Machine Learning Engineer Internship is designed for students interested in working on advanced AI technologies like generative AI, deep learning, and large language models. This Cisco Machine Learning Internship is based in Hyderabad and targets students interested in cutting-edge AI research and real-world applications and are preparing to graduate in the coming years.

Cisco Internship 2026 Overview

Why this Cisco AI ML Internship?

• Opportunity to work on real-world AI systems including generative AI and multimodal models.
• Exposure to large-scale enterprise products and global-level engineering practices.
• Learn how to design, train, and deploy AI models in production environments.
• Gain mentorship from experienced engineers and researchers in cutting-edge domains.

Cisco ML Engineer Internship Description

As a Machine Learning Engineer Intern at Cisco, you’ll collaborate with cross-functional teams to build intelligent systems that power next-generation products. This internship focuses on practical exposure to AI development, where you will explore how models are trained, optimized, and deployed in real-world scenarios.

Key Responsibilities in Machine Learning Internship for Freshers:

• Work on developing and improving AI/ML models for real-world applications.
• Participate in building scalable solutions involving natural language processing or computer vision.
• Assist in experimenting with deep learning frameworks and optimizing model performance.
• Collaborate with engineering and product teams to turn ideas into working solutions.
• Contribute to prototype development and support production-level deployments.

Required Skills & Qualifications

ML Skills Required for Cisco Summer Internship 2026:

• Working knowledge of programming languages such as Python, Java, or C++.
• Familiarity with AI concepts like NLP, computer vision, or multimodal systems.
• Exposure to deep learning frameworks and model training techniques.
• Basic understanding of deploying machine learning solutions.
• Interest in generative AI and modern AI advancements.

Eligibility Criteria for Cisco Machine Learning Engineer Internship

Education: Students pursuing B.Tech, M.Tech, or related degrees in Computer Science, AI, Data Science, or related fields.

Fresh graduates from the 2027 batch are eligible to apply.

Internship Location: Hyderabad, Telangana, India

Perks and Benefits of Cisco Job:

• Opportunity to work on cutting-edge AI technologies.
• Exposure to global engineering teams and real-world projects.
• Learning-driven environment with mentorship support.

Career Growth Opportunities

• Possibility of advancement to roles such as Machine Learning Engineer or AI Engineer based on performance and business requirements.
• Opportunity to specialize in generative AI, deep learning, and large-scale system design for future roles.

Machine Learning Engineer Internship Stipend at Cisco India

This is a paid internship. Based on market data, the estimated Machine Learning Engineer Intern stipend at Cisco is ₹3 – ₹5 LPA. Final stipend may vary and is decided by the employer.

Practical Advice

If you’re planning to apply, focus on strengthening your fundamentals in machine learning and deep learning. Build small projects using frameworks like TensorFlow or PyTorch, and try contributing to open-source AI projects. Understanding how models scale in production can give you an edge during the selection process.

How to Apply for the Cisco Machine Learning Internship

To apply or for more information regarding ML Internship in Hyderabad, visit the Cisco career page using the following link.

Application Deadline: Rolling basis (apply early). 

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Frequently Asked Questions (FAQ)

What exactly does Cisco do?

Cisco is a global technology company known for building networking, cybersecurity, and collaboration solutions. It plays a major role in enabling digital infrastructure across industries and is increasingly investing in AI-driven technologies to enhance its product ecosystem.