Is Cisco Hiring Machine Learning Engineer Interns in 2027? What Master’s Students Must Know Before Applying

Landing a Machine Learning internship at Cisco isn’t just about a brand name—it’s about working on real-world GenAI, LLMs, and scalable AI systems that impact millions globally.

Cisco has shared a Machine Learning Engineer – Master’s Intern (India) listing that functions as a talent pipeline for future openings. While this role may not be open at all times, it’s a strong signal for students targeting high-impact AI careers.

Why This Cisco ML Internship Is a Big Deal for Master’s Students

At Cisco, AI is a core strategy, not a side feature. Their teams (including Splunk and core AI engineering) are embedding intelligence across collaboration, networking, security, and observability.

Think of this role as Cisco opening the waiting room for top GenAI talent—they want to know who’s ready when positions open.

About the Role – Machine Learning Engineer Master’s Intern (India)

Key Role Details

• Role: Machine Learning Engineer – Master’s Intern
• Company: Cisco (Engineering / Splunk / AI teams)
• Location: Hyderabad, India
• Graduation Year: 2027
• Category: Internships & Co-Ops

⚠️ This is a future opportunity listing. Applying helps Cisco identify strong candidates early.

What You’ll Actually Work On

• Designing and training LLMs
• Building multimodal AI systems
• NLP and Computer Vision use cases
• Fine-tuning GenAI models for performance and scalability
• Developing PoCs that can reach production

Minimum Eligibility Criteria

Who Can Apply

• Master’s students graduating in 2027
• Degrees like MTech, MS, MSc, MCA (AI/CS/Data-focused)

Required Technical Skills

• Programming: Python, Java, or C++
• Hands-on deep learning frameworks
• Experience with NLP, CV, or multimodal AI
• Training, fine-tuning, and optimizing GenAI models
• Designing deployable AI systems

Preferred Qualifications – What Boosts Shortlisting

Skills Cisco Values

• Strong system design
• ML at production scale
• Turning ambiguous problems into solutions
• Familiarity with CLIP, DALL·E-style models, diffusion models

Profile Boosters

• Research publications
• Open-source contributions
• Kaggle/leaderboard experience
• Clear, real-world impact

How to Prepare for This Role

Projects You Should Have

• LLM fine-tuning project
• End-to-end GenAI application
• NLP or multimodal system with deployment
• Clear metrics and documentation

Resume & Portfolio Tips

• Show impact, not buzzwords
• Explain model choices and trade-offs
• Strong GitHub with clean READMEs
• Mention deployment, latency, scalability

Common Mistakes to Avoid

• Only listing online courses
• No deployed projects
• Weak ML explanations
• Ignoring system design
• Treating GenAI as just prompt engineering

How & When to Apply

• This is a pipeline listing for future openings
• Applying early improves visibility
• Set job alerts and keep profiles updated

👉 Apply here: Apply here

Should You Apply? Quick Checklist

• ✅ Graduating in 2027
• ✅ Strong Python + DL frameworks
• ✅ At least one GenAI/NLP/CV project
• ✅ Interest in production ML

If yes—apply and start preparing seriously.

Final Thoughts

This opportunity is ideal if you want to: - Work on real GenAI systems - Blend research with engineering - Create impact at scale

Cisco isn’t just hiring interns—they’re scouting future AI engineers.